CN108271216B - Ad hoc network load balancing method and device and cloud platform disaster recovery system - Google Patents
Ad hoc network load balancing method and device and cloud platform disaster recovery system Download PDFInfo
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/08—Load balancing or load distribution
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
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- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1027—Persistence of sessions during load balancing
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Abstract
The invention provides a method and a device for balancing ad hoc network load and a cloud platform disaster recovery system, wherein the method is applied to network element management equipment and comprises the following steps: receiving network element information data sent by each network element in the service range of the network element at intervals of a preset time period; acquiring parameters of each network element from the network element information data as balance factors of the uniform mixing matrix to be input; inputting the equalization factors into a uniform mixing matrix, enabling the jth equalization factor of the ith network element to serve as the jth row element of the uniform mixing matrix, enabling the uniform mixing matrix to uniformly mix the equalization factors, and outputting parameters of uniformly mixed network elements; and sending a parameter adjusting message to each network element according to the uniformly stirred parameters so that each network element adjusts the parameters of the network element according to the received parameter adjusting message. The invention can solve the problems that the prior art can not ensure to really relieve the resource burden of the cell, has slow operation and has ping-pong switching hidden danger.
Description
Technical Field
The invention relates to the technical field of mobile communication, in particular to a method and a device for balancing ad hoc network load and a cloud platform disaster recovery system.
Background
Mobile Load Balancing (MLB) is a relatively advanced technology currently used, and is mainly to redistribute cells where users reside or connect based on the traffic Load of the cells, so as to achieve the purpose of Balancing the traffic Load of adjacent cells. The MLB implementation idea is that the local HL periodically monitors the load condition of the cell, when the load mean value of the cell exceeds a preset threshold value, the load condition of the neighbor cell is acquired from the surrounding neighbor cells, and then a proper neighbor cell is selected for negotiation and modification of the mobility parameters. After negotiation is successful, the source base station HL sends a switching and reselecting parameter adjustment suggestion value message to an operation maintenance entity OM through an interface message, the OM receives the message and then sends an optimization parameter suggestion event to an operation maintenance center OMC, the OMC modifies the switching and reselecting parameters of the adjacent cell pair according to the received parameter adjustment suggestion and notifies the OM to modify a management information base MIB, and the OM notifies the HL parameter to take effect after modification is completed. In one MLB period, only one parameter adjustment process of one adjacent cell pair is performed by one source cell, but parameter adjustment can be performed between one target adjacent cell and a plurality of source cells. When the load evaluation value reaches a backoff threshold and exceeds a certain duration, parameter backoff can be performed according to the switch setting, and the base station triggers the OMC to modify the parameters by sending a parameter backoff event to the OMC.
The application scenarios of the MLB include intra-LTE scenario (a long term evolution LTE network internal scenario) and inter-RAT scenario (a scenario between different LTE networks). Now, what is mainly implemented is a single-layer coverage networking scenario in intra-LTE, as shown in fig. 1, a high-load cell 1 and a low-load cell 2 modify handover and reselection offset parameters of a neighboring cell pair through negotiation so that coverage of the cell 1 is contracted, coverage of the cell 2 is expanded, and part of users of the cell 1 are handed over or reselected to the cell 2, thereby realizing load sharing between cells.
In the prior art, load balancing is judged mainly based on the neighbor relation, and by setting a certain fixed threshold, judgment and evaluation based on the number of cell users are performed after the threshold is reached, and then a target cell is selected and corresponding parameters are modified. The main disadvantage of the scheme is that each base station or cell takes itself as a core to judge data, the judgment is based on the number of users and a fixed threshold, the selection of a target cell cannot actually guarantee that the resource burden of the cell is really relieved after the target cell is cut, the operation is slow, and the hidden danger of ping-pong handover exists.
In view of this, how to solve the problems that the burden of the resource of the local cell cannot be really relieved, the operation is slow, and the potential ping-pong handover hazard exists in the prior art, and realizing load balancing in the LTE network becomes a technical problem to be solved at present.
Disclosure of Invention
In order to solve the technical problems, the invention provides an ad hoc network load balancing method, an ad hoc network load balancing device and a cloud platform disaster recovery system, solves the problems that the resource burden of a cell cannot be really relieved, the operation is slow, and the ping-pong switching hidden danger exists in the prior art, and can realize load balancing in an LTE network.
In a first aspect, the present invention provides an ad hoc network load balancing method, applied to a network element management device, including:
receiving network element information data sent by each network element in the service range of the network element at intervals of a preset time period;
acquiring parameters of each network element from the network element information data as balance factors of the uniform mixing matrix to be input;
inputting the equalization factors into a uniform mixing matrix, enabling the jth equalization factor of the ith network element to serve as the jth row and jth column elements of the uniform mixing matrix, enabling the uniform mixing matrix to uniformly mix the equalization factors, and outputting uniformly mixed parameters of the network elements, wherein i is 1, …, m, m is the number of the network elements in the service range of the network element management equipment, and j is 1, …, g, g is the number of the equalization factors of each network element;
and sending a parameter adjusting message to each network element according to the uniformly stirred parameters of each network element, so that each network element adjusts the parameters of the network element according to the received parameter adjusting message.
Optionally, if the network element management device is an OMC main server, the network element is an access server in communication connection with the OMC main server;
if the network element management equipment is an access server, the network element is a base station group in communication connection with the access server;
and if the network element management equipment is a base station which is taken as an administrator in a base station group, the network element is a base station which is taken as a member except the base station which is taken as the administrator in the base station group.
Optionally, the parameters of the network element include: a software hidden danger parameter, a hardware hidden danger parameter and a physical factor parameter;
the software hidden danger parameters comprise: the method comprises the following steps that the number of users in a single cell, the highest download flow of the users in unit time, the total flow of users in the cell, the cpu occupancy rate, the utilization rate of baseband resources and/or the average rsrp value are/is calculated;
the physical factor parameters comprise: commercial power/standby power, and/or standby power quantity;
the hardware hidden danger parameters comprise: the hidden danger problem generation probability, the hidden danger problem influence duration, the hidden danger problem influence deterioration duration, the problem deterioration change coefficient, the hidden danger processing route duration, the route duration change coefficient, the processing difficulty and the hidden danger level;
the treatment difficulty comprises: a software processing difficulty Tr and a hardware replacement difficulty Tk.
Optionally, the method for acquiring the hidden danger problem occurrence probability P includes:
extracting the total alarm quantity A of the k week from the network element information datakK is 1, …, n is the number of the weeks of the extracted alarm, and n is more than or equal to 10;
from said AkNumber of key alarms B extracted fromk；
According to said AkAnd BkObtaining the probability p of the k week hidden trouble problem through a first formulak；
According to BkAnd pkAcquiring a mathematical expectation E (b) of the occurrence of the weekly hidden trouble problem through a second formula;
according to said AkAnd (E) (b) acquiring the probability P of occurrence of the hidden trouble problem through a third formula;
wherein the first formula is:
the second formula is:
the third formula is:
optionally, the method for acquiring the hidden danger problem influence duration T3 includes:
extracting h groups of triggering alarm time tx of the network element from the network element information datawAlarm clearing time tz to the network elementw，w＝1,…,h，h≥100；
According to said txwAnd tzwAcquiring the influence time length T3 of the hidden trouble problem through a fourth formula;
wherein the fourth formula is:
optionally, the method for acquiring the hidden danger problem influence deterioration duration T1 includes:
extracting q groups of triggering alarm time tx of the network element from the network element information datauTime ty until the network element status further deterioratesu，u＝1,…,q，q≥100；
According to said txuAnd tyuAcquiring a hidden danger problem influence deterioration time T1 through a fifth formula;
wherein the fifth formula is:
and/or the presence of a gas in the gas,
the hidden danger processing route duration T2 is calculated by a sixth formula, where the sixth formula is:
T2＝S/v，
s is the distance length from a maintainer handling the hidden trouble to the network element, and v is the average speed per hour from the maintainer handling the hidden trouble to the network element.
Optionally, the problem deterioration change coefficient α is preset according to the weather severity, the temperature level and the maintenance personnel level;
the journey length variation coefficient beta is preset according to the weather severity and the road congestion degree.
Optionally, the hidden danger level Lv is calculated by a seventh formula, where the seventh formula is:
Lv＝P×[(Tr+Tk)×β+T1×α+T3]。
in a second aspect, the present invention provides an ad hoc network load balancing apparatus, applied to a network element management device, including:
the receiving module is used for receiving network element information data sent by each network element in the service range of the receiving module every other preset time period;
an obtaining module, configured to obtain, from the network element information data, a parameter of each network element as a balance factor of a uniform mixing matrix to be input;
a blending module, configured to input the equalization factor into a blending matrix, enable a jth equalization factor of an ith network element to serve as a jth row and jth column element of the blending matrix, enable the blending matrix to blend the equalization factor, and output parameters of the blended network elements, where i is 1, …, m is the number of network elements in the service range of the network element management device, and j is 1, …, g, and g is the number of equalization factors of each network element;
and a sending module, configured to send a parameter adjustment message to each network element according to the uniformly stirred parameters of each network element, so that each network element adjusts the parameters of the network element according to the received parameter adjustment message.
In a third aspect, the present invention provides a cloud platform disaster recovery system, including: an OMC main server, an access server and a base station;
the OMC main server is in communication connection with a plurality of access servers, each access server is in communication connection with a plurality of base station groups through a base station serving as an administrator in the base station group, and each base station group consists of a plurality of base stations in a preset range;
the OMC main server comprises: in the ad hoc network load balancing device, the OMC main server is used as a network element management device, the access server in communication connection with the OMC main server is used as a network element, and a preset time period is set as a preset first time period;
each access server comprising: in the ad hoc network load balancing device, the access server is used as network element management equipment, a base station which is used as an administrator in a base station group in communication connection with the access server is used as a network element, and a preset time period is set as a preset second time period;
the base station as the administrator in each base station group comprises: in the ad hoc network load balancing device, a base station serving as an administrator in the base station group serves as network element management equipment, a base station serving as a member except for the base station serving as the administrator in the base station group serves as a network element, and a preset time period is set to be a preset third time period;
and the preset third time period is less than the preset second time period, and the preset second time period is less than the preset third time period.
According to the technical scheme, the method, the device and the cloud platform disaster recovery system for balancing the ad hoc network load are applied to network element management equipment, and network element information data sent by each network element in a service range of the network element management equipment is received at intervals of a preset time period; acquiring parameters of each network element from the network element information data as balance factors of the uniform mixing matrix to be input; inputting a uniform mixing matrix by taking the network elements as rows and the balance factors as columns, and uniformly mixing the balance factors by using the uniform mixing matrix to obtain parameters of uniformly mixed network elements; and sending parameter adjusting messages to the network elements according to the uniformly mixed parameters so that the network elements adjust the parameters of the network elements according to the received parameter adjusting messages, thereby solving the problems that the resource burden of the cell cannot be really relieved, the operation is slow and the hidden danger of ping-pong switching exists in the prior art, realizing load balance of the resources of the whole network, having high operation speed and preventing the occurrence of complaints caused by downtime, resource hanging, user access or unavailable conversation/flow of a certain base station or a certain area due to subjective or objective reasons.
Drawings
FIG. 1 is a single-layer coverage networking scenario in intra-LTE in the prior art;
fig. 2 is a schematic flowchart of a method for balancing ad hoc network load according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an ad hoc network load balancing apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a cloud platform disaster recovery system according to an embodiment of the present invention;
fig. 5 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 2 is a schematic flowchart illustrating an ad hoc network load balancing method according to an embodiment of the present invention, where the ad hoc network load balancing method is applied to a network element management device, and as shown in fig. 2, the ad hoc network load balancing method according to the embodiment is described as follows.
201. And receiving network element information data sent by each network element in the service range of the network element every other preset time period.
It can be understood that, in this embodiment, if the network element management device is an OMC main server, the network element is an access server in communication connection with the OMC main server;
if the network element management equipment is an access server, the network element is a base station group in communication connection with the access server;
and if the network element management equipment is a base station which is taken as an administrator in a base station group, the network element is a base station which is taken as a member except the base station which is taken as the administrator in the base station group.
202. And acquiring the parameters of each network element from the network element information data as balance factors of the uniform mixing matrix to be input.
The parameters of the network element may include: software hidden danger parameters, hardware hidden danger parameters, physical factor parameters and the like.
Specifically, the software hidden danger parameter may include: the number of users in a single cell, the highest download flow rate of the users per unit time, the total flow rate of users in the cell, the cpu occupancy rate, the utilization rate of baseband resources, and/or the average reference signal received power (rsrp) value, etc.
Specifically, the physical factor parameter may include: commercial power/standby power, and/or standby power quantity, etc.
Specifically, the hardware hidden danger parameter may include: the hidden danger problem occurrence probability, the hidden danger problem influence duration, the hidden danger problem influence deterioration duration, the problem deterioration change coefficient, the hidden danger processing route duration, the route duration change coefficient, the processing difficulty, the hidden danger level and the like.
Specifically, the processing difficulty may include: the software processing difficulty Tr and the hardware replacement difficulty Tk can be preset according to actual hidden danger problems.
It can be understood that there are different ways of handling different hidden trouble problems, and the difficulty of handling the problem is not directly related to the problem grade. When the problem is processed, the problem may be affected by many factors, such as personnel, tools, resources, processing methods, and the like, and therefore, the processing difficulty is added when the failure level of the base station hidden danger problem is processed. Firstly, the problem needs to be pre-judged, and because the situation is responsible and no emphasis is made, the processing difficulty is simply classified into two types, namely software processing difficulty Tr and hardware replacement difficulty Tk. For the setting of the software processing difficulty Tr and the hardware replacement difficulty Tk, the factors of the software processing sometimes include the calculation of hidden danger parameters of the software, and the hidden danger parameters are generally 0; for the calculation of the hidden danger parameters of the software, three grades (an OMC main server, an access server and a base station group) can be divided from top to bottom according to the architecture of the cloud platform.
Further, the method for acquiring the hidden danger problem occurrence probability P may specifically include:
extracting the total alarm quantity A of the k week from the network element information datakK is 1, …, n is the number of the weeks of the extracted alarm, and n is more than or equal to 10;
from said AkNumber of key alarms B extracted fromk；
According to said AkAnd BkObtaining the probability p of the k week hidden trouble problem through a first formulak；
According to BkAnd pkAcquiring a mathematical expectation E (b) of the occurrence of the weekly hidden trouble problem through a second formula;
according to said AkAnd (E) (b) acquiring the probability P of occurrence of the hidden trouble problem through a third formula;
wherein the first formula is:
the second formula is:
the third formula is:
further, the method for acquiring the hidden danger problem influence duration T3 may specifically include:
extracting h groups of triggering alarm time tx of the network element from the network element information datawAlarm clearing time tz to the network elementw，w＝1,…,h，h≥100；
According to said txwAnd tzwAcquiring the influence time length T3 of the hidden trouble problem through a fourth formula;
wherein the fourth formula is:
further, the method for acquiring the hidden trouble problem influence deterioration duration T1 may specifically include:
extracting q groups of triggering alarm time tx of the network element from the network element information datauTo the moment ty when the network element status is further deteriorated (e.g. base station out of service, cell out of service, etc.)u，u＝1,…,q，q≥100；
According to said txuAnd tyuAcquiring a hidden danger problem influence deterioration time T1 through a fifth formula;
wherein the fifth formula is:
further, the hidden danger processing route duration T2 is calculated by a sixth formula, where the sixth formula is:
T2＝S/v (6)
wherein, S is the distance length (non-linear distance, including road driving condition, not including the change factor of the route change caused by road construction, etc.) from the maintainer handling the hidden trouble to the network element, and v is the average speed per hour (such as the average speed per hour in urban area 30km/h, rural area 40km/h) from the maintainer handling the hidden trouble to the network element.
It will be appreciated that the above-described,
further, the hidden danger level Lv is calculated by a seventh formula, where the seventh formula is:
Lv＝P×[(Tr+Tk)×β+T1×α+T3](7)
it will be appreciated that the higher the level of Lv, the higher the processing priority.
In a specific application, the problem deterioration change coefficient alpha is preset according to the weather severity, the temperature level and the maintenance personnel level; the journey duration change coefficient beta is preset according to the weather severity and the road congestion degree;
it can be understood that, according to the influence on the processing time and the journey time such as the road condition, the weather, the degree of congestion of the road, the temperature, the maintenance staff level, etc., the present embodiment can adapt to the fault processing requirements under different environments such as different landforms, weathers, scenes, etc. by means of different problem deterioration change coefficients α and journey time change coefficients β. And setting a problem deterioration change coefficient alpha and a journey duration change coefficient beta, and reflecting the influence of variable environmental factors on scheduling.
203. Inputting the equalization factor into a uniform mixing matrix, using the jth equalization factor of the ith network element as the jth row and jth column elements of the uniform mixing matrix, uniformly mixing the equalization factor by the uniform mixing matrix, and outputting the uniformly mixed parameters of the network elements, wherein i is 1, …, m, m is the number of the network elements in the service range of the network element management equipment, and j is 1, …, g, g is the number of the equalization factor of each network element.
It can be understood that, for disaster-tolerant load balancing, this embodiment uses matrix expression, rows of the matrix may refer to balancing factors, and columns of the matrix may refer to network elements (such as base stations, base station groups, or access (NEA) servers) participating in operations. The value of the equalization factor is a numerical factor, from 0 to 99, representing the interval in which the value should theoretically be found.
In a specific application, a specific algorithm for the uniform mixing matrix to uniformly mix the equalization factors is as follows:
204. and sending a parameter adjusting message to each network element according to the uniformly stirred parameters of each network element, so that each network element adjusts the parameters of the network element according to the received parameter adjusting message.
Wherein, the main means of adjustment may include: access control, handover threshold adjustment, traffic limitation, etc., which is not limited in this embodiment, and other adjustment means may also be included.
It can be understood that, by uniformly mixing the equalization factors on the rows or columns of the matrix by using the method described in this embodiment, it can be ensured that each network element participating in the operation does not generate excessively large or small values, and the equalization factors can be flexibly selected according to the current network maintenance. The uniform mixing matrix of the scheme also has the characteristic of strong expansibility, and for factors which are not considered in the early stage, only a punishment algorithm of a new balance factor is input into an operation unit of the network element management equipment, and the punishment algorithm can be immediately applied to unit operation. Each subnet (such as an NEA server or a base station group consisting of a certain number of base stations) can be flexibly selected, and only the upper-level arithmetic unit is required to be arranged. For example, for an NEA access server in a large-capacity high-traffic mass-sending system, the number of access users and the highest download capacity of the users in unit time can be selected as factors; for an occupied area which is a suburb or a remote area, the storage battery is used for supplying power to the access server reaching a certain scale, and the residual electric quantity of the storage battery can be brought into an operation range. The base stations which are powered by storage batteries in the whole network can be directly divided into a logic base station group, the operation is carried out on the electric quantity, in order to enable the electric quantity to reach a relatively balanced state, the operation unit can output a set of residual electric quantity and the matrix number according to the power supply equipment path, the residual electric quantity and the matrix number are reported to the OMC main server, and the power supply work order is automatically distributed. For the large traffic cell or the concert sports meeting guarantee in daily busy hours, the number of access users or the user traffic can be used as a balance factor. After the calculation, the number of the access users of each base station in the ad hoc network is automatically allocated to meet the function of data balance, and the used access user inhibition generally comprises a plurality of algorithms of directly refusing access, accessing queuing or reducing the rsrp cut-in value of the adjacent cell and the like.
In the ad hoc network load balancing method of this embodiment, network element information data sent by each network element within a service range of the ad hoc network is received every other preset time period; acquiring parameters of each network element from the network element information data as balance factors of the uniform mixing matrix to be input; inputting a uniform mixing matrix by taking the network elements as rows and the balance factors as columns, and uniformly mixing the balance factors by using the uniform mixing matrix to obtain parameters of uniformly mixed network elements; the method can solve the problems that the resource burden of the cell cannot be really relieved, the operation is slow and the hidden danger of ping-pong switching exists in the prior art, can realize load balance of resources of the whole network, has high operation speed, and can prevent complaints caused by downtime, resource hanging, user access or unavailable conversation/flow of a certain base station or a certain area due to subjective or objective reasons.
Fig. 3 shows a schematic structural diagram of an ad hoc network load balancing apparatus according to an embodiment of the present invention, where the ad hoc network load balancing apparatus of this embodiment is applied to a network element management device, as shown in fig. 3, the ad hoc network load balancing apparatus of this embodiment includes: a receiving module 31, an obtaining module 32, a stirring module 33 and a sending module 34; wherein:
a receiving module 31, configured to receive, every preset time period, network element information data sent by each network element within a service range of the receiving module;
an obtaining module 32, configured to obtain, from the network element information data, a parameter of each network element as a balance factor of a uniform mixing matrix to be input;
a blending module 33, configured to input the equalization factor into a blending matrix, enable a jth equalization factor of an ith network element to serve as a jth row and jth column element of the blending matrix, enable the blending matrix to blend the equalization factor, and output parameters of the blended network elements, where i is 1, …, m is the number of network elements in the service range of the network element management device, j is 1, …, g, and g is the number of equalization factors of each network element;
a sending module 34, configured to send a parameter adjustment message to each network element according to the uniformly stirred parameters of each network element, so that each network element adjusts the parameters of the network element according to the received parameter adjustment message.
The ad hoc network load balancing apparatus of this embodiment may be configured to implement the technical solutions of the foregoing method embodiments, and the implementation principles and technical effects thereof are similar, and are not described herein again.
The ad hoc network load balancing device of the embodiment is applied to network element management equipment, can solve the problems that the resource burden of a cell cannot be really relieved, the operation is slow and the potential ping-pong switching hazard exists in the prior art, can realize load balancing of resources of the whole network, has high operation speed, and can prevent complaints caused by downtime, resource hanging, user access or unavailable conversation/flow of a certain base station or a certain area due to subjective or objective reasons.
Fig. 4 shows a schematic structural diagram of a cloud platform disaster recovery system according to an embodiment of the present invention, and as shown in fig. 4, the cloud platform disaster recovery system according to the embodiment includes: an OMC main server, an access server and a base station;
the OMC main server is in communication connection with a plurality of access servers, each access server is in communication connection with a plurality of base station groups through a base station serving as an administrator in the base station group, and each base station group consists of a plurality of base stations in a preset range;
the OMC main server comprises: in the ad hoc network load balancing apparatus according to the embodiment shown in fig. 3, in the ad hoc network load balancing apparatus, an OMC main server is used as a network element management device, an access server in communication connection with the OMC main server is used as a network element, and a preset time period is set as a preset first time period;
each access server comprising: in the ad hoc network load balancing apparatus according to the embodiment shown in fig. 3, in the ad hoc network load balancing apparatus, the access server is used as a network element management device, a base station which is an administrator in a base station group communicatively connected to the access server is used as a network element, and a preset time period is set as a preset second time period;
the base station as the administrator in each base station group comprises: in the ad hoc network load balancing apparatus according to the embodiment shown in fig. 3, a base station serving as an administrator in a base station group is used as a network element management device, a base station serving as a member except for the base station serving as the administrator in the base station group is used as a network element, and a preset time period is set as a preset third time period;
and the preset third time period is less than the preset second time period, and the preset second time period is less than the preset third time period. For example, a base station serving as an administrator in each base station group may receive, through the OM port, a heartbeat message carrying network element information data sent by each base station serving as a member in the base station group in real time, and the OMC main server may receive, every 15 minutes, a base station group resource report containing network element information data sent by an access server in communication connection with the OMC main server.
In a specific application, the ad hoc network load balancing device in the OMC master server may be specifically used for
Using an OMC main server as network element management equipment, using an access server in communication connection with the OMC main server as a network element, setting a preset time period as a preset first time period, and calculating parameters after the access servers in communication connection with the OMC main server are uniformly stirred by using the ad hoc network load balancing method in the embodiment of the method; and according to the parameters after the uniform mixing of the access servers, sending a parameter adjusting message to each access server in communication connection with the access server, so that each access server in communication connection with the access server sends a base station group parameter adjusting message to a base station serving as an administrator in each base station group in communication connection with the access server according to the received parameter adjusting message, and further, the base station serving as the administrator in each base station group in communication connection with the access server controls all base stations in the base station group to carry out parameter adjustment according to the received base station group parameter adjusting message.
In a specific application, the ad hoc network load balancing device in each access server can be specifically used for
Taking the access server as network element management equipment, taking a base station which is an administrator in a base station group in communication connection with the access server as a network element, setting a preset time period as a preset second time period, and calculating parameters after the base station groups in communication connection with the access server are uniformly stirred by using the ad hoc network load balancing method in the embodiment of the method; and according to the parameters after the base station groups are uniformly mixed, sending a parameter adjusting message to a base station which is taken as an administrator in each base station group in communication connection with the base station group, so that the base station which is taken as the administrator in each base station group in communication connection with the base station group controls all base stations in the base station group to carry out parameter adjustment according to the received parameter adjusting message.
In a specific application, the ad hoc network load balancing device in the base station as the administrator in each base station group can be specifically used for
Taking a base station serving as an administrator in the base station group as network element management equipment, taking base stations serving as members except the base station serving as the administrator in the base station group as network elements, and setting a preset time period to be a preset third time period; and sending a parameter adjusting message to each base station as a member in the base station group according to the parameter of the base station as the member after being uniformly stirred, so that each base station as the member in the base station group adjusts the parameter of the base station according to the received parameter adjusting message.
The main means of adjustment in this embodiment may include: access control, handover threshold adjustment, traffic limitation, etc., which is not limited in this embodiment, and other adjustment means may also be included.
The cloud platform disaster recovery system can solve the problems that the resource burden of a cell cannot be really relieved, the operation is slow and the hidden danger of ping-pong switching exists in the prior art, can realize load balance of resources of the whole network, has high operation speed, and can prevent complaints caused by downtime, resource hanging, user access or unavailable conversation/flow of a certain base station or a certain area due to subjective or objective reasons.
In the cloud platform disaster recovery system of this embodiment, a disaster recovery structure with optimized overall network system and distributed operation is used to perform distributed management and parallel operation on base station groups in a certain range, a plurality of base station groups under the same access server, and all base stations under the same OMC server, and to perform operation on various software and hardware factors that may cause a disaster, thereby achieving a reasonable and effective load balancing disaster recovery system. In this embodiment, a hierarchical disaster recovery architecture is formed based on OMC main service centralized control, distributed control of each access server, and ad hoc network operation of a base station group; based on the ad hoc network disaster recovery algorithm of the uniform mixing matrix, for an ad hoc network base station group, the uniform mixing matrix is brought into the planned capacity judgment condition for load operation, and is actually scattered to the dimension of each cell, so that the actual load of each dimension cannot be too large in each cell in the ad hoc network.
Fig. 5 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 5, the electronic device may include: a processor (processor)51, a memory (memory)52, and a bus 53;
the processor 51 and the memory 52 complete mutual communication through the bus 53;
the processor 51 may call the logic instructions of the memory 52 to perform the methods provided by the above-described method embodiments, including, for example: receiving network element information data sent by each network element in the service range of the network element at intervals of a preset time period; acquiring parameters of each network element from the network element information data as balance factors of the uniform mixing matrix to be input; inputting the equalization factors into a uniform mixing matrix, enabling the jth equalization factor of the ith network element to serve as the jth row and jth column elements of the uniform mixing matrix, enabling the uniform mixing matrix to uniformly mix the equalization factors, and outputting uniformly mixed parameters of the network elements, wherein i is 1, …, m, m is the number of the network elements in the service range of the network element management equipment, and j is 1, …, g, g is the number of the equalization factors of each network element; and sending a parameter adjusting message to each network element according to the uniformly stirred parameters of each network element, so that each network element adjusts the parameters of the network element according to the received parameter adjusting message.
An embodiment of the present invention discloses a computer program product, which includes a computer program stored on a non-transitory computer readable storage medium, the computer program including program instructions, when the program instructions are executed by a computer, the computer can execute the methods provided by the above method embodiments, for example, the method includes: receiving network element information data sent by each network element in the service range of the network element at intervals of a preset time period; acquiring parameters of each network element from the network element information data as balance factors of the uniform mixing matrix to be input; inputting the equalization factors into a uniform mixing matrix, enabling the jth equalization factor of the ith network element to serve as the jth row and jth column elements of the uniform mixing matrix, enabling the uniform mixing matrix to uniformly mix the equalization factors, and outputting uniformly mixed parameters of the network elements, wherein i is 1, …, m, m is the number of the network elements in the service range of the network element management equipment, and j is 1, …, g, g is the number of the equalization factors of each network element; and sending a parameter adjusting message to each network element according to the uniformly stirred parameters of each network element, so that each network element adjusts the parameters of the network element according to the received parameter adjusting message.
Embodiments of the present invention provide a non-transitory computer-readable storage medium, which stores computer instructions, where the computer instructions cause the computer to perform the methods provided by the above method embodiments, for example, the methods include: receiving network element information data sent by each network element in the service range of the network element at intervals of a preset time period; acquiring parameters of each network element from the network element information data as balance factors of the uniform mixing matrix to be input; inputting the equalization factors into a uniform mixing matrix, enabling the jth equalization factor of the ith network element to serve as the jth row and jth column elements of the uniform mixing matrix, enabling the uniform mixing matrix to uniformly mix the equalization factors, and outputting uniformly mixed parameters of the network elements, wherein i is 1, …, m, m is the number of the network elements in the service range of the network element management equipment, and j is 1, …, g, g is the number of the equalization factors of each network element; and sending a parameter adjusting message to each network element according to the uniformly stirred parameters of each network element, so that each network element adjusts the parameters of the network element according to the received parameter adjusting message.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element. The terms "upper", "lower", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience in describing the present invention and simplifying the description, but do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Unless expressly stated or limited otherwise, the terms "mounted," "connected," and "connected" are intended to be inclusive and mean, for example, that they may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the description of the present invention, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description. Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention is not limited to any single aspect, nor is it limited to any single embodiment, nor is it limited to any combination and/or permutation of these aspects and/or embodiments. Moreover, each aspect and/or embodiment of the present invention may be utilized alone or in combination with one or more other aspects and/or embodiments thereof.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (9)
1. A method for balancing ad hoc network load is applied to network element management equipment, and comprises the following steps:
receiving network element information data sent by each network element in the service range of the network element at intervals of a preset time period;
obtaining the parameters of each network element from the network element information data as balance factors of the uniform mixing matrix to be input, wherein the parameters of the network elements comprise: a software hidden danger parameter, a hardware hidden danger parameter and a physical factor parameter; the software hidden danger parameters comprise: the method comprises the following steps that the number of users in a single cell, the highest download flow of the users in unit time, the total flow of users in the cell, the cpu occupancy rate, the utilization rate of baseband resources and/or the average rsrp value are/is calculated; the physical factor parameters comprise: commercial power/standby power, and/or standby power quantity; the hardware hidden danger parameters comprise: the hidden danger problem generation probability, the hidden danger problem influence duration, the hidden danger problem influence deterioration duration, the problem deterioration change coefficient, the hidden danger processing route duration, the route duration change coefficient, the processing difficulty and the hidden danger level; the treatment difficulty comprises: software processing difficulty Tr and hardware replacement difficulty Tk;
inputting the equalization factors into a uniform mixing matrix, enabling the jth equalization factor of the ith network element to serve as the jth row and jth column elements of the uniform mixing matrix, enabling the uniform mixing matrix to uniformly mix the equalization factors, and outputting uniformly mixed parameters of the network elements, wherein i is 1, …, m, m is the number of the network elements in the service range of the network element management equipment, and j is 1, …, g, g is the number of the equalization factors of each network element;
based on the ad hoc network disaster recovery algorithm of the uniform mixing matrix, for an ad hoc network base station group, the uniform mixing matrix is brought into the planned capacity judgment condition for load operation, and is actually scattered to the dimension of each cell;
and sending a parameter adjusting message to each network element according to the uniformly stirred parameters of each network element, so that each network element adjusts the parameters of the network element according to the received parameter adjusting message.
2. The method of claim 1, wherein if the network element management device is an OMC main server, the network element is an access server communicatively connected to the OMC main server;
if the network element management equipment is an access server, the network element is a base station group in communication connection with the access server;
and if the network element management equipment is a base station which is taken as an administrator in a base station group, the network element is a base station which is taken as a member except the base station which is taken as the administrator in the base station group.
3. The method according to claim 1, wherein the method for obtaining the probability P of occurrence of the hidden trouble problem comprises:
extracting the total alarm quantity A of the k week from the network element information datakK is 1, …, n is the number of the weeks of the extracted alarm, and n is more than or equal to 10;
from said AkNumber of key alarms B extracted fromk；
According to said AkAnd BkObtaining the probability p of the k week hidden trouble problem through a first formulak；
According to BkAnd pkAcquiring a mathematical expectation E (b) of the occurrence of the weekly hidden trouble problem through a second formula;
according to said AkAnd (E) (b) acquiring the probability P of occurrence of the hidden trouble problem through a third formula;
wherein the first formula is:
the second formula is:
the third formula is:
4. the method according to claim 3, wherein the method for acquiring the hidden trouble problem influence duration T3 comprises the following steps:
extracting h groups of triggering alarm time tx of the network element from the network element information datawAlarm clearing time ty to said network elementw，w＝1,…,h，h≥100；
According to said txwAnd tywAcquiring the influence time length T3 of the hidden trouble problem through a fourth formula;
wherein the fourth formula is:
5. the method according to claim 4, wherein the method for acquiring the hidden trouble problem influence deterioration duration T1 comprises the following steps:
extracting q groups of triggering alarm time tx of the network element from the network element information datauTime ty until the network element status further deterioratesu，u＝1,…,q，q≥100；
According to said txuAnd tyuAcquiring a hidden danger problem influence deterioration time T1 through a fifth formula;
wherein the fifth formula is:
and/or the presence of a gas in the gas,
the hidden danger processing route duration T2 is calculated by a sixth formula, where the sixth formula is:
T2＝S/v，
s is the distance length from a maintainer handling the hidden trouble to the network element, and v is the average speed per hour from the maintainer handling the hidden trouble to the network element.
6. The method according to claim 5, wherein the problem deterioration change coefficient α is preset in accordance with weather severity, temperature level, and maintenance staff level;
the journey length variation coefficient beta is preset according to the weather severity and the road congestion degree.
7. The method of claim 6, wherein the risk level Lv is calculated by a seventh equation:
Lv＝P×[(Tr+Tk)×β+T1×α+T3]。
8. an ad hoc network load balancing device is applied to network element management equipment, and comprises:
the receiving module is used for receiving network element information data sent by each network element in the service range of the receiving module every other preset time period;
an obtaining module, configured to obtain, from the network element information data, a parameter of each network element as an equalization factor of a uniform mixing matrix to be input, where the parameter of the network element includes: a software hidden danger parameter, a hardware hidden danger parameter and a physical factor parameter; the software hidden danger parameters comprise: the method comprises the following steps that the number of users in a single cell, the highest download flow of the users in unit time, the total flow of users in the cell, the cpu occupancy rate, the utilization rate of baseband resources and/or the average rsrp value are/is calculated; the physical factor parameters comprise: commercial power/standby power, and/or standby power quantity; the hardware hidden danger parameters comprise: the hidden danger problem generation probability, the hidden danger problem influence duration, the hidden danger problem influence deterioration duration, the problem deterioration change coefficient, the hidden danger processing route duration, the route duration change coefficient, the processing difficulty and the hidden danger level; the treatment difficulty comprises: software processing difficulty Tr and hardware replacement difficulty Tk;
a blending module, configured to input the equalization factor into a blending matrix, enable a jth equalization factor of an ith network element to serve as a jth row and jth column element of the blending matrix, enable the blending matrix to blend the equalization factor, and output parameters of the blended network elements, where i is 1, …, m is the number of network elements in the service range of the network element management device, and j is 1, …, g, and g is the number of equalization factors of each network element;
based on the ad hoc network disaster recovery algorithm of the uniform mixing matrix, for an ad hoc network base station group, the uniform mixing matrix is brought into the planned capacity judgment condition for load operation, and is actually scattered to the dimension of each cell;
and a sending module, configured to send a parameter adjustment message to each network element according to the uniformly stirred parameters of each network element, so that each network element adjusts the parameters of the network element according to the received parameter adjustment message.
9. A cloud platform disaster recovery system, comprising: an OMC main server, an access server and a base station;
the OMC main server is in communication connection with a plurality of access servers, each access server is in communication connection with a plurality of base station groups through a base station serving as an administrator in the base station group, and each base station group consists of a plurality of base stations in a preset range;
the OMC main server comprises: the ad hoc network load balancing device of claim 8, wherein the ad hoc network load balancing device sets the preset time period to a preset first time period by using the OMC main server as the network element management device and using the access server in communication connection with the OMC main server as the network element;
each access server comprising: the ad hoc network load balancing device of claim 8, wherein the ad hoc network load balancing device uses the access server as a network element management device, uses a base station, which is an administrator in a base station group communicatively connected to the access server, as a network element, and sets a preset time period as a preset second time period;
the base station as the administrator in each base station group comprises: the ad hoc network load balancing device of claim 8, wherein the ad hoc network load balancing device uses a base station as an administrator in the base station group as a network element management device, uses a base station as a member except for the base station as the administrator in the base station group as a network element, and sets the preset time period as a preset third time period;
and the preset third time period is less than the preset second time period, and the preset second time period is less than the preset first time period.
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