CN115051920A - Method and system for capacity expansion of NFV capacity network element under capacity open architecture - Google Patents
Method and system for capacity expansion of NFV capacity network element under capacity open architecture Download PDFInfo
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
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- H—ELECTRICITY
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract
A method and system for capacity expansion of NFV capacity network element under capacity open architecture, when NFVO takes a certain time as cycle, the intelligent capacity expansion flow to capacity network element is started regularly, including: the NFVO acquires a capability open network element associated with the capability network element; the NFVO generates a capacity expansion plan of the capacity network element in the period according to the service request number S in the period reported by the capacity open network element and the refusal request number S' refused due to the starting overload; the NFVO sends the capacity expansion VDU number in the capacity expansion plan of the periodic capacity network element to the capacity network element; after the capacity expansion of the capacity network element is completed, the NFVO updates the capacity of the capacity network element to the number of VDUs after the capacity expansion, updates the state to the state of the capacity expansion completed, and then informs the capacity network element of prolonging the cooling period parameter in the capacity reduction strategy content. The invention belongs to the field of communication, and can realize intelligent capacity expansion of an NFV capacity network element by monitoring the traffic and load condition of a capacity open network element associated with the capacity network element.
Description
Technical Field
The invention relates to a method and a system for capacity expansion of an NFV capacity network element under a capacity open architecture, and belongs to the field of communication.
Background
Traditional telecom operators are accelerating the transformation to IT, and by introducing advanced technologies such as Network Function Virtualization (NFV), Network capability opening and the like, a new generation Network with resources capable of being globally scheduled, capability capable of being fully opened, capacity capable of being elastically expanded and contracted, and architecture capable of being flexibly adjusted is constructed, so that multiple aims of cultivating new service growth points, reducing system operation cost, accelerating innovation of service development modes and the like are achieved.
The following respectively introduces the NFV and network capability open networking and functions, the MANO and network management system is responsible for the management of the NFV system, and is composed of NFVO, VNFM, OMC and VIM:
enhanced NFVO with enhanced function compared to the NFVO defined by ETSI standards. The standard NFVO function mainly comprises the functions of managing network services, managing virtual network function life cycles and uniformly scheduling resources across resource pools through VNFM and VIM; the enhanced functions mainly include FCAPS management capabilities (VNF, virtual resources, physical resource related configuration, performance, alarm, and three-tier alarm association and performance threshold alarm monitoring) for the virtual network elements;
the VNFM realizes the life cycle management of a virtual network element VNF, including the management and processing of VNFD, the initialization of a VNF example, the capacity expansion/contraction of the VNF, the termination of the VNF example, supports the receiving of an elastic expansion strategy issued by NFVO, and realizes the elastic expansion of the VNF;
OMC realizes the management functions of fault, performance, configuration and the like of the application layers of the physical network element and the virtual network element, reports the alarm, configuration and performance data of the application layer of VNF to the existing network OSS and NFVO through a northbound interface, and can realize the life cycle management of the virtual network element by matching with VNFM;
the VIM is a virtualized infrastructure management system and is mainly responsible for infrastructure layer hardware resources, management of virtualized resources, monitoring and fault reporting, and provides a virtualized resource pool to the upper layer VNFM and NFVO, and meanwhile, the VIM provides a virtual machine image management function.
The operator network capability open architecture can be generally divided into an application layer, a network capability open platform and a network capability layer from top to bottom. The application layer comprises the own application of an operator, the industry application and the internet application; the capability opening network element on the network capability opening platform realizes the convergence and encapsulation of the communication capabilities of the CS, the PS and the IMS of the current network and the opening of the self-owned/non-self-owned application; and the capability network element of the network capability layer encapsulates the network capability of the network capability layer and provides the network capability for the capability open network element to call in an interface mode.
With the continuous popularization of the NFV technology, the establishment of capability-opening related network elements based on the NFV architecture has become a common practice of operators, and can bring advantages such as software and hardware decoupling, reduction of hardware equipment purchasing cost, flexible capacity expansion and contraction and the like to the operators. The supporting of the elastic expansion of the network element capacity is one of the important advantages of the NFV technology, the processing capacity of the network element can be rapidly improved through capacity expansion when needed, and the waste of system resources is reduced through capacity reduction when not needed. At present, there are two common ways for flexible capacity expansion, the first is that an operation and maintenance person manually performs related operations (i.e. manual capacity expansion) through a GUI interface provided by NFVO, and the second is that a VNFM automatically performs (i.e. automatically expands and contracts) when a given condition is met according to a trigger condition (e.g. a CPU reaches a set threshold) specified by a policy file provided by NFVO in advance.
There are some sudden growth of business scenarios (e.g., dueleven campaigns, sudden marketing, etc.) for various applications, especially internet applications, that have an open application layer of capabilities. Under these scenarios, the number of capability call requests initiated by the application layer to the capability openness layer per second may increase by tens or even hundreds of times than usual and be conducted by the capability openness layer to the capability layer. In order to cope with such impacts, if the capacity network element of the capacity layer always sets the capacity according to the processing capacity required by these extreme scenarios, the system may idle, the resource utilization rate is low, and the resource waste is caused. Therefore, it is necessary to adopt an elastic capacity expansion and reduction technology for a capability network element, perform a temporary capacity expansion operation to meet a capacity requirement before a service impact comes, and perform a capacity reduction operation after a service scene which suddenly increases ends, so as to avoid resource waste.
When the current automatic capacity expansion and reduction mechanism deals with such scenes, the problem of too high failure rate of service requests in the capacity expansion process occurs, and user experience is affected. The main reasons are the following 3 points:
1. the single expansion and contraction process of the NFV network element needs longer time (1-10 minutes). If the number of received requests exceeds the capacity in the capacity expansion process, the network element starts an overload mechanism and continuously rejects the requests exceeding the capacity;
2. the number of the VDUs automatically expanded by the NFV network element depends on a policy file configured in advance, and the VDUs cannot be prepared to match with the traffic impact scale, so that multiple expansion operations need to be executed in series;
3. the failed service request can be automatically retransmitted, and the load of the capacity network element is further increased by the snowball rolling effect, so that the requirement on capacity expansion capacity is increased.
And the capacity expansion of the capacity network element layer is completed in advance by adopting a manual capacity expansion and contraction mode before the service request impact comes, although the high failure rate in the capacity expansion process can be avoided, the capacity expansion accuracy and the real-time performance are difficult to meet the requirements because the scale and the time interval of the service request impact are difficult to predict.
Therefore, how to implement intelligent capacity expansion of the NFV capability network element, thereby effectively avoiding the problem that the current automatic capacity expansion and reduction and manual capacity expansion and reduction mechanisms deal with the suddenly increased service scene, which has become a technical problem that technicians pay attention to.
Disclosure of Invention
In view of this, an object of the present invention is to provide a method and a system for capacity expansion of an NFV capability network element under a capability openness architecture, which can implement intelligent capacity expansion of the NFV capability network element by monitoring and analyzing traffic and load conditions of the capability openness network element associated with the capability network element, thereby effectively avoiding a problem that a current automatic capacity expansion and reduction mechanism and a current manual capacity expansion and reduction mechanism are in response to a suddenly increased service scenario.
In order to achieve the above object, the present invention provides a method for capacity expansion of an NFV capacity network element under a capacity open architecture, where a service request is conducted to a related capacity network element through the capacity open network element for processing, both the capacity open network element and the capacity network element include a virtual network function VNF, a virtualized network function module manager VNFM, and an operation and maintenance center OMC, where the VNF includes a plurality of VDUs, and when an NFVO starts an intelligent capacity expansion flow of the capacity network element at regular time with a certain period of time as a period, the method includes:
step one, an NFVO acquires a capability open network element associated with a capability network element;
step two, the NFVO generates a capacity expansion plan of the capacity network element in the period according to the service request number S in the period reported by the capacity open network element and the refusal request number S' refused due to overload starting: whether capacity expansion is needed and the quantity of VDUs is expanded;
step three, the NFVO sends the capacity expansion VDU number in the capacity expansion plan of the periodic capacity network element to the capacity network element, and informs the capacity network element of capacity expansion;
and step four, after the capacity expansion of the capacity network element is completed, the NFVO updates the capacity of the capacity network element to the number of VDUs after the capacity expansion, updates the state of the capacity network element to be the state of the completed capacity expansion, and then informs the capacity network element to prolong the cooling period parameter in the content of the capacity reduction strategy.
In order to achieve the above object, the present invention further provides a system for capacity expansion of an NFV capability network element under a capability openness architecture, where a service request is conducted to a related capability network element through the capability openness network element for processing, and both the capability openness network element and the capability network element include a virtual network function VNF, a virtualized network function module manager VNFM, and an operation and maintenance center OMC, where the VNF includes a plurality of VDUs, and the NFVO further includes:
the intelligent capacity-expansion starting device acquires a capacity open network element associated with the capacity network element by taking a certain time as a period, and then informs the intelligent capacity-expansion computing device;
the intelligent capacity-expansion calculating device generates a capacity-expansion plan of the capacity network element in the period according to the service request number S in the period reported by the capacity open network element and the refusal request number S' refused due to overload starting: whether capacity expansion is needed and the quantity of VDUs is expanded;
and the capacity expansion informing device is used for sending the quantity of the expanded VDUs to the corresponding capacity network element according to the capacity expansion plan of the capacity network element in each period generated by the intelligent capacity expansion calculating device so as to inform the capacity expansion of the capacity network element, updating the capacity of the capacity network element into the quantity of the expanded VDUs after the capacity expansion of the capacity network element is completed, updating the state of the capacity network element into the expanded VDUs, and informing the capacity network element of prolonging the cooling period parameter in the capacity expansion strategy content.
Compared with the prior art, the invention has the beneficial effects that: the capacity expansion method and the capacity expansion system have the advantages that the capacity expansion of the capacity network element is started in advance based on the load analysis of the capacity opening network element, and the capacity network element and the capacity opening network element can be linked, so that the overall capacity expansion time is shortened, and the failure rate of service request impact is remarkably reduced.
Drawings
Fig. 1 is a flowchart of a method for capacity expansion of an NFV capability network element under a capability openness architecture according to the present invention.
Fig. 2 is a schematic structural diagram of a system for capacity expansion of an NFV capability network element under a capability open architecture according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the accompanying drawings.
Under the network capacity open architecture of an operator, the service request flow is conducted to the capacity network element for processing through the capacity open network element, and when the service request flow is increased, if the service flow does not exceed the current capacity of the capacity open network element, the load of the capacity open network element is synchronously increased; if the service flow exceeds the current capacity of the capacity opening network element, the capacity opening network element starts an overload processing mechanism at first and rejects the request exceeding the processing capacity of the capacity opening network element. Meanwhile, as the self load exceeds the threshold specified by the capacity expansion strategy, the capacity expansion flow of the self is started. This expansion process may last for several minutes. Therefore, when the conditions of capacity-opening network element load continuous increase, overload starting, capacity expansion starting and the like are met, the invention starts the analysis process aiming at capacity expansion of the capacity network element, realizes cross-network-element linkage analysis of the capacity expansion process and the capacity-opening network element based on the relevance of the service process, and starts the capacity expansion process of the capacity network element in advance based on the load and flow analysis of the capacity-opening network element, thereby reducing the failure of service requests generated by refusing requests by the capacity network element in the capacity expansion process.
In the traditional automatic capacity expansion flow, whether the capacity expansion of the network element is needed or not is determined by the load of the network element, and the flow is simpler. However, since the traffic is not conducted to the capability network element through the capability openness network element, the conventional automated capacity expansion process cannot be effective. In the invention, the NFVO is required to add a function of analyzing the affected capability network element, and the principle is as follows: NFVO analyzes the performance data reported by the capacity-opening network element, analyzes whether the attribution of the service request number is concentrated in a partial area, calculates the number of VDUs required to expand the capacity of the current request (including the part rejected due to overload) received by the capacity-opening network element to the relevant capacity network element in the affected area in advance according to the analysis result, then issues a capacity expansion instruction, and finally sets a capacity expansion and contraction cooling period for prolonging the network element to avoid the automatic capacity contraction of the network element before the traffic comes.
As shown in fig. 1, the method for expanding the capacity of the NFV capability network element under the capability open architecture of the present invention includes that a service request is conducted to a related capability network element through the capability open network element for processing, the capability open network element is generally deployed in a centralized manner to facilitate access of a third-party service platform, the capability network element is deployed in a province or a large district according to a difference between a user attribution and a supported service type, and both the capability open network element and the capability network element include a virtual network function VNF, a virtualized network function module manager VNFM, and an operation maintenance center OMC, where the VNF includes a plurality of VDUs, and when the NFVO starts an intelligent capacity expansion flow of the capability network element at regular time with a certain time as a period, the method includes:
step one, NFVO acquires a capability open network element associated with a capability network element;
step two, the NFVO judges whether the capacity open network element generates overload alarm in the period, if yes, the step five is continued; if not, continuing the next step;
the period of the NFVO is less than the time length required by the capacity open network element capacity expansion, and the overload alarm is generated by the capacity open network element VNF and reported to the NFVO through the capacity open network element OMC;
step three, the NFVO judges whether the capacity open network element generates the load acceleration overrun alarm in the period, if so, the step five is continued; if not, continuing the next step;
the load acceleration overrun alarm is generated by the capability opening network element OMC and is used for indicating that the load of the capability opening network element continuously increases within a certain past historical time;
step four, the NFVO judges whether the capacity open network element in the period is started to manually or automatically expand the capacity, if so, the step five is continued; if not, the flow is ended;
when the capacity-opening network element starts manual capacity expansion, the NFVO sends a Scale VNF Request message to a capacity-opening network element VNFM through a C6 interface, and records that the capacity-opening network element starts manual capacity expansion in the period; when the capability openness network element starts the auto-extension, the capability openness network element VNFM sends C6 to the NFVO: VNFMEventNotification message to notify the NFVO that VNF is to be automatically expanded, the interface includes JobID information, and then the NFVO calls C6: the GetJobStatus interface acquires the task state of automatic capacity expansion and records that the capacity open network element starts the automatic capacity expansion in the period;
step five, the NFVO generates a capacity expansion plan of the capacity network element in the period according to the service request number S in the period reported by the capacity open network element and the refusal request count S' refused due to overload starting: whether capacity expansion is needed and the quantity of VDUs is expanded;
NFVO reads the service request number S in the period reported by the capacity open network element and the refusal request number S rejected due to overload starting, classifies the service requests according to the attribution of the user number in the service requests, further classifies all the service requests in the same attribution ground according to the service types, converts the service request number in the same attribution ground into the load L of the capacity network element in the attribution ground according to the load relation of the capacity network element corresponding to the different types of service request numbers configured locally, and calculates the expected load of the capacity network element according to the proportional relation of S' and S: and finally, generating a capacity expansion plan of the capacity network element in the period according to the expected load and the current capacity of the capacity network element: whether capacity expansion is needed and the quantity of VDUs is expanded;
step six, the NFVO compares the capacity expansion plan of the periodic capacity network element with the ongoing capacity expansion task of the capacity network element, so as to adjust the capacity expansion plan of the periodic capacity network element: if the ongoing capacity expansion task meets the capacity expansion plan of the capacity network element in the period, the process is ended; if the ongoing capacity expansion task can not satisfy the capacity expansion plan of the periodic capacity network element, deleting the ongoing capacity expansion task part in the capacity expansion plan of the periodic capacity network element, and continuing the next step; if no capacity expansion task of the capacity network element is in progress, continuing the next step;
step seven, the NFVO sends the capacity expansion VDU number in the capacity expansion plan of the periodic capacity network element to the capacity network element and informs the capacity network element of capacity expansion;
NFVO sends the scale VNF Request message to the capability network element VNFM through a C6 interface according to the volume expansion VDU number in the capacity expansion plan of the periodic capability network element, and then the capacity expansion is completed by the capability network element VNFM;
and step eight, after the capacity expansion of the capacity network element is completed, the NFVO updates the capacity of the capacity network element to the number of VDUs after the capacity expansion, updates the state of the capacity network element to be the capacity expansion completed, and then informs the capacity network element of prolonging the cooling period parameter in the capacity reduction strategy content so as to avoid capacity expansion failure caused by automatic capacity reduction of the capacity network element in the capacity expansion process.
After the capacity expansion of the capability network element VNFM is completed, the NFVO updates the capacity of the capability network element to the number of VDUs after the capacity expansion, updates the state to the expanded state, and then calls C6: and the UpdatePolicy interface informs the capability network element VNFM to prolong the cooling period parameter in the content of the capacity reduction strategy.
As shown in fig. 2, in the system for capacity expansion of an NFV capability network element under a capability open architecture of the present invention, a service request is conducted to a related capability network element through the capability open network element for processing, the capability open network element is generally deployed in a centralized manner to facilitate access of a third-party service platform, the capability network element is deployed in a province or a large district according to a user attribution and different service types supported, and both the capability open network element and the capability network element include a virtual network function VNF, a virtualized network function module manager VNFM, and an operation maintenance center OMC, where the VNF includes a plurality of VDUs and the NFVO further includes:
the intelligent capacity-expansion starting device acquires a capacity open network element associated with the capacity network element by taking a certain time as a period, and then informs the intelligent capacity-expansion computing device;
the intelligent capacity-expansion calculating device generates a capacity-expansion plan of the capacity network element in the period according to the service request number S in the period reported by the capacity open network element and the refusal request number S' refused due to overload starting: whether capacity expansion is needed and the quantity of VDUs is expanded;
and the capacity expansion informing device is used for sending the quantity of the expanded VDUs to the corresponding capacity network element according to the capacity expansion plan of the capacity network element in each period generated by the intelligent capacity expansion calculating device so as to inform the capacity expansion of the capacity network element, updating the capacity of the capacity network element into the quantity of the expanded VDUs after the capacity expansion of the capacity network element is completed, updating the state of the capacity network element into the expanded VDUs, and informing the capacity network element of prolonging the cooling period parameter in the capacity expansion strategy content so as to avoid capacity expansion failure caused by automatic capacity expansion of the capacity network element in the capacity expansion process.
The intelligent capacity-expansion starting device can further comprise:
the capacity expansion starting unit acquires a capacity open network element associated with the capacity network element by taking a certain time as a cycle, and then informs other units in the device of processing;
the overload alarm judging unit is used for judging whether the capacity open network element generates overload alarm in the period, if so, the intelligent capacity expansion computing device is informed, the overload alarm is generated by the capacity open network element VNF and is reported to NFVO through the capacity open network element OMC;
the load acceleration overrun warning judging unit judges whether the capacity open network element generates a load acceleration overrun warning in the period, if so, the intelligent capacity expansion calculating device is informed, and the load acceleration overrun warning is generated by the capacity open network element OMC and is used for indicating that the load of the capacity open network element continuously increases within a certain past history time;
and the capacity expansion starting judgment unit is used for judging whether the capacity open network element starts manual or automatic capacity expansion in the period, and if so, the intelligent capacity expansion calculation device is informed.
When the capacity-opening network element starts manual capacity expansion, the NFVO sends a Scale VNF Request message to a capacity-opening network element VNFM through a C6 interface, and records that the capacity-opening network element starts manual capacity expansion in the period; when the capability openness network element starts the auto-extension, the capability openness network element VNFM sends C6 to the NFVO: a VNFMEventNotification message to notify the NFVO that VNF is to be automatically expanded, where the interface includes the JobID information, and then the NFVO performs, by calling C6: and the GetJobStatus interface acquires the task state of automatic capacity expansion and records that the capacity-open network element starts the automatic capacity expansion in the period.
The intelligent capacity-expansion computing device further comprises:
the capacity expansion plan generating unit reads the service request number S reported by the capacity open network element in the period and the refusal request number S rejected due to overload starting, classifies the service requests according to the attribution of the user number in the service requests, further classifies all the service requests in the same attribution according to the service types, converts the service request number in the same attribution into the load L of the capacity network element in the attribution according to the load relationship of the capacity network element corresponding to the locally configured different types of service request numbers, and calculates the expected load of the capacity network element according to the proportional relationship of S' and S: and finally, generating a capacity expansion plan of the capacity network element in the period according to the expected load and the current capacity of the capacity network element: whether capacity expansion is needed and the number of VDUs is expanded.
Intelligence dilatation computing device is still including:
the capacity expansion plan adjusting unit compares the capacity expansion plan of the capacity network element in each period with the ongoing capacity expansion task of the capacity network element, so as to adjust the capacity expansion plan of the capacity network element in each period: if the ongoing capacity expansion task meets the capacity expansion plan of the capacity network element in the period, deleting the capacity expansion plan of the capacity network element in each period; and if the ongoing capacity expansion task cannot meet the capacity expansion plan of the capacity network element in the period, deleting the ongoing capacity expansion task part in the capacity expansion plan of the capacity network element in the period.
The capacity expansion notification device sends a Scale VNF Request message to the capability network element VNFM through a C6 interface according to the quantity of the capacity expansion VDUs in the capacity expansion plan of the capacity network element in each period, and then the capacity expansion is completed by the capability network element VNFM; after the capacity expansion of the capability network element VNFM is completed, the capacity expansion notification device updates the capacity of the capability network element to the number of VDUs after the capacity expansion, updates the state of the VDUs to the completion of the capacity expansion, and then calls C6: and the UpdatePolicy interface informs a capability network element VNFM to prolong the cooling period parameter in the content of the capacity reduction strategy.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (12)
1. A method for capacity expansion of an NFV capacity network element under a capacity open architecture is characterized in that a service request is conducted to a relevant capacity network element through the capacity open network element for processing, the capacity open network element and the capacity network element both include a virtual network function VNF, a virtualized network function module manager VNFM and an operation maintenance center OMC, wherein the VNF includes a plurality of VDUs, and when NFVO starts an intelligent capacity expansion flow of the capacity network element at regular time with a certain time as a period, the method includes:
step one, NFVO acquires a capability open network element associated with a capability network element;
step two, the NFVO generates a capacity expansion plan of the capacity network element in the period according to the service request number S in the period reported by the capacity open network element and the refusal request number S' refused due to the start overload: whether capacity expansion is needed and the quantity of VDUs is expanded;
step three, the NFVO sends the capacity expansion VDU number in the capacity expansion plan of the periodic capacity network element to the capacity network element, and informs the capacity network element of capacity expansion;
and step four, after the capacity expansion of the capacity network element is completed, the NFVO updates the capacity of the capacity network element to the number of VDUs after the capacity expansion, updates the state of the capacity network element to be the state of the completed capacity expansion, and then informs the capacity network element to prolong the cooling period parameter in the content of the capacity reduction strategy.
2. The method of claim 1, further comprising, between step one and step two:
step 1, NFVO judges whether the capacity open network element generates overload alarm in the period, if yes, the step two is continued; if not, continuing the next step;
step 2, the NFVO judges whether the capacity open network element generates a load acceleration overrun alarm in the period, if so, the step two is continued; if not, continuing the next step;
step 3, the NFVO judges whether the capacity open network element in the period starts manual or automatic capacity expansion, if yes, the step two is continued; if not, the process ends.
3. The method according to claim 2, wherein in step 3, when the capability openness network element starts manual capacity expansion, the NFVO sends a scalevnfrequest message to the capability openness network element VNFM through a C6 interface, and records that the capability openness network element has started manual capacity expansion in this period; when the capability openness network element starts the auto-extension, the capability openness network element VNFM sends C6 to the NFVO: a VNFMEventNotification message to notify the NFVO that VNF is to be automatically expanded, where the interface includes the JobID information, and then the NFVO performs, by calling C6: and the GetJobStatus interface acquires the task state of automatic capacity expansion and records that the capacity-open network element starts the automatic capacity expansion in the period.
4. The method of claim 1, wherein step two further comprises:
the service request number S in the period reported by the NFVO reading capability open network element and the refusal request number S' refused due to the starting overload are classified according to the attribution of the user number in the service request, and all the service requests in the same attribution underground are classified
Further classifying according to the service types, converting the service request number under the same attribution into the load L of the capacity network element of the attribution according to the load relation of the capacity network element corresponding to the locally configured service request numbers of different types, and calculating the expected load of the capacity network element according to the proportional relation of S' and S: and finally, generating a capacity expansion plan of the capacity network element in the period according to the expected load and the current capacity of the capacity network element: whether capacity expansion is needed and the number of VDUs is expanded.
5. The method of claim 1, wherein step two further comprises:
the NFVO compares the capacity expansion plan of the periodic capacity network element with the ongoing capacity expansion task of the capacity network element, so as to adjust the capacity expansion plan of the periodic capacity network element: if the ongoing capacity expansion task meets the capacity expansion plan of the capacity network element in the period, the process is ended; if the ongoing capacity expansion task can not meet the capacity expansion plan of the capacity network element in the period, deleting the ongoing capacity expansion task part in the capacity expansion plan of the capacity network element in the period, and continuing to the third step; and if no capacity expansion task of the capacity network element is in progress, continuing the step three.
6. The method according to claim 1, characterized in that, in step three, the NFVO sends a scalefnfreq message to the capability network element VNFM through a C6 interface to the expanded VDU number in the expansion plan of the capability network element in this period, and then the capacity expansion is completed by the capability network element VNFM; in step four, after the capacity expansion of the capability network element VNFM is completed, the NFVO updates the capacity of the capability network element to the number of VDUs after the capacity expansion, updates the state of the VDU to the state of the VDU after the capacity expansion is completed, and then calls C6: and the UpdatePolicy interface informs the capability network element VNFM to prolong the cooling period parameter in the content of the capacity reduction strategy.
7. A system for capacity expansion of an NFV capacity network element under a capacity open architecture is characterized in that a service request is conducted to a relevant capacity network element for processing through a capacity open network element, and both the capacity open network element and the capacity network element include a virtual network function VNF, a virtualized network function module manager VNFM and an operation and maintenance center OMC, wherein the VNF includes a plurality of VDUs, and the NFVO further includes:
the intelligent capacity-expansion starting device acquires a capacity open network element associated with the capacity network element by taking a certain time as a period, and then informs the intelligent capacity-expansion computing device;
the intelligent capacity-expansion calculating device generates a capacity-expansion plan of the capacity network element in the period according to the service request number S in the period reported by the capacity open network element and the refusal request number S' refused due to overload starting: whether capacity expansion is needed and the quantity of VDUs is expanded;
and the capacity expansion informing device is used for sending the quantity of the expanded VDUs to the corresponding capacity network element according to the capacity expansion plan of the capacity network element in each period generated by the intelligent capacity expansion calculating device so as to inform the capacity expansion of the capacity network element, updating the capacity of the capacity network element into the quantity of the expanded VDUs after the capacity expansion of the capacity network element is completed, updating the state of the capacity network element into the expanded VDUs, and informing the capacity network element of prolonging the cooling period parameter in the capacity expansion strategy content.
8. The system of claim 7, wherein the intelligent capacity-expansion starting device further comprises:
the capacity expansion starting unit acquires a capacity open network element associated with the capacity network element by taking a certain time as a period, and then informs the overload alarm judging unit;
the overload alarm judging unit judges whether the capacity open network element generates overload alarm in the period, if so, the intelligent capacity expansion calculating device is informed, and if not, the load acceleration overrun alarm judging unit is informed;
the load acceleration overrun alarm judging unit judges whether the capacity open network element generates a load acceleration overrun alarm in the period, if so, the intelligent capacity expansion calculating device is informed, and if not, the capacity expansion starting judging unit is informed;
and the capacity expansion starting judgment unit is used for judging whether the capacity open network element starts manual or automatic capacity expansion in the period, and if so, the intelligent capacity expansion calculation device is informed.
9. The system according to claim 8, wherein when the capability openness network element starts manual capacity expansion, the NFVO sends a ScaleVNF Request message to the capability openness network element VNFM through a C6 interface, and records that the capability openness network element has started manual capacity expansion in this period; when the capability openness network element starts the auto-extension, the capability openness network element VNFM sends C6 to the NFVO: VNFMEventNotification message to notify the NFVO that VNF is to be automatically expanded, the interface includes JobID information, and then the NFVO calls C6: and the GetJobStatus interface acquires the task state of automatic capacity expansion and records that the capacity-open network element starts the automatic capacity expansion in the period.
10. The system of claim 7, wherein the smart flash computing device further comprises:
the capacity expansion plan generating unit reads the service request number S reported by the capacity open network element in the period and the refusal request number S rejected due to overload starting, classifies the service requests according to the attribution of the user number in the service requests, further classifies all the service requests in the same attribution according to the service types, converts the service request number in the same attribution into the load L of the capacity network element in the attribution according to the load relationship of the capacity network element corresponding to the locally configured different types of service request numbers, and calculates the expected load of the capacity network element according to the proportional relationship of S' and S: and finally, generating a capacity expansion plan of the capacity network element in the period according to the expected load and the current capacity of the capacity network element: whether capacity expansion is needed and the number of VDUs.
11. The system of claim 7, wherein the intelligent capacity-expansion computing device further comprises:
the capacity expansion plan adjusting unit compares the capacity expansion plan of the capacity network element in each period with the ongoing capacity expansion task of the capacity network element, so as to adjust the capacity expansion plan of the capacity network element in each period: if the ongoing capacity expansion task meets the capacity expansion plan of the capacity network element in the period, deleting the capacity expansion plan of the capacity network element in each period; and if the ongoing capacity expansion task cannot meet the capacity expansion plan of the capacity network element in the period, deleting the ongoing capacity expansion task part in the capacity expansion plan of the capacity network element in the period.
12. The system according to claim 7, wherein the capacity expansion notification means sends a scalewnf Request message to the capability network element VNFM through a C6 interface according to the number of the capacity expansion VDUs in the capacity expansion plan of the capability network element per cycle, and then the capacity expansion is completed by the capability network element VNFM; after the capacity expansion of the capability network element VNFM is completed, the capacity expansion notification device updates the capacity of the capability network element to the number of VDUs after the capacity expansion, updates the state of the VDUs to the completion of the capacity expansion, and then calls C6: and the UpdatePolicy interface informs the capability network element VNFM to prolong the cooling period parameter in the content of the capacity reduction strategy.
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Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012079248A1 (en) * | 2010-12-17 | 2012-06-21 | 中兴通讯股份有限公司 | Forwarding method and system based on virtual local area network (vlan) with capacity expansion and reduction packet transport network (ptn) ports |
| CN102932198A (en) * | 2012-07-09 | 2013-02-13 | 北京中创信测科技股份有限公司 | Signaling monitoring device for realizing PS domain distributed architecture |
| CN103702401A (en) * | 2013-12-17 | 2014-04-02 | 无锡清华信息科学与技术国家实验室物联网技术中心 | User behavior analysis-based energy-saving method for mobile network |
| CN104735167A (en) * | 2015-04-13 | 2015-06-24 | 北京邮电大学 | Method and device for realizing opening of network scheduling function |
| WO2016095121A1 (en) * | 2014-12-17 | 2016-06-23 | 华为技术有限公司 | Method and system for automatically adjusting network service capability |
| CN106487553A (en) * | 2015-08-27 | 2017-03-08 | 中兴通讯股份有限公司 | The processing method of VNF example, device and VNFM |
| US20180204234A1 (en) * | 2017-01-18 | 2018-07-19 | Amdocs Development Limited | System, method, and computer program for calculating a cost-of-ownership for virtual network functions (vnfs) in a network function virtualization (nfv) based communication network |
| US20190028350A1 (en) * | 2017-07-20 | 2019-01-24 | Cisco Technology, Inc. | Dynamic and customizable virtual network functions |
| CN109451506A (en) * | 2018-11-27 | 2019-03-08 | 中国联合网络通信集团有限公司 | Appraisal procedure, device, terminal and the computer storage medium of LTE dilatation |
| CN109474464A (en) * | 2018-11-13 | 2019-03-15 | 电子科技大学 | A kind of fast network update method based on OpenNF mechanism |
| US20190089780A1 (en) * | 2017-09-15 | 2019-03-21 | Nec Europe Ltd. | Application function management using nfv mano system framework |
| CN109936464A (en) * | 2017-12-15 | 2019-06-25 | ***通信集团浙江有限公司 | The open load forecasting method of communication capacity based on multilayer LSTMRNN and device |
| CN110247783A (en) * | 2018-03-07 | 2019-09-17 | ***通信有限公司研究院 | A kind of scalable appearance policy conflict processing method and processing device |
| CN111083719A (en) * | 2018-10-22 | 2020-04-28 | ***通信有限公司研究院 | Method, device and storage medium for flexibly adjusting network element capacity |
| CN111526031A (en) * | 2019-12-20 | 2020-08-11 | 西安抱朴通信科技有限公司 | Method and device for expanding and shrinking volume of VNF (virtual network function) |
| CN113079189A (en) * | 2020-01-03 | 2021-07-06 | ***通信集团广东有限公司 | Capacity control method and device for capacity open platform and electronic equipment |
| CN113300899A (en) * | 2020-04-15 | 2021-08-24 | 阿里巴巴集团控股有限公司 | Network capability opening method, network system, device and storage medium |
| US20210329444A1 (en) * | 2018-09-27 | 2021-10-21 | Telefonaktiebolaget Lm Ericsson (Publ) | Incrementally Distributing User Equipment Capability Information Using a Model Identifier |
| CN113825152A (en) * | 2020-06-18 | 2021-12-21 | 中兴通讯股份有限公司 | Capacity control method, network management device, management arrangement device, system and medium |
| CN113923785A (en) * | 2021-10-20 | 2022-01-11 | 中国联合网络通信集团有限公司 | Network management system and method based on cloud network cooperation |
| CN114389953A (en) * | 2021-12-30 | 2022-04-22 | 中国—东盟信息港股份有限公司 | Kubernetes container dynamic expansion and contraction method and system based on flow prediction |
-
2022
- 2022-06-02 CN CN202210626363.0A patent/CN115051920B/en active Active
Patent Citations (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012079248A1 (en) * | 2010-12-17 | 2012-06-21 | 中兴通讯股份有限公司 | Forwarding method and system based on virtual local area network (vlan) with capacity expansion and reduction packet transport network (ptn) ports |
| CN102932198A (en) * | 2012-07-09 | 2013-02-13 | 北京中创信测科技股份有限公司 | Signaling monitoring device for realizing PS domain distributed architecture |
| CN103702401A (en) * | 2013-12-17 | 2014-04-02 | 无锡清华信息科学与技术国家实验室物联网技术中心 | User behavior analysis-based energy-saving method for mobile network |
| WO2016095121A1 (en) * | 2014-12-17 | 2016-06-23 | 华为技术有限公司 | Method and system for automatically adjusting network service capability |
| CN104735167A (en) * | 2015-04-13 | 2015-06-24 | 北京邮电大学 | Method and device for realizing opening of network scheduling function |
| CN106487553A (en) * | 2015-08-27 | 2017-03-08 | 中兴通讯股份有限公司 | The processing method of VNF example, device and VNFM |
| US20180204234A1 (en) * | 2017-01-18 | 2018-07-19 | Amdocs Development Limited | System, method, and computer program for calculating a cost-of-ownership for virtual network functions (vnfs) in a network function virtualization (nfv) based communication network |
| US20190028350A1 (en) * | 2017-07-20 | 2019-01-24 | Cisco Technology, Inc. | Dynamic and customizable virtual network functions |
| US20190089780A1 (en) * | 2017-09-15 | 2019-03-21 | Nec Europe Ltd. | Application function management using nfv mano system framework |
| CN109936464A (en) * | 2017-12-15 | 2019-06-25 | ***通信集团浙江有限公司 | The open load forecasting method of communication capacity based on multilayer LSTMRNN and device |
| CN110247783A (en) * | 2018-03-07 | 2019-09-17 | ***通信有限公司研究院 | A kind of scalable appearance policy conflict processing method and processing device |
| US20210329444A1 (en) * | 2018-09-27 | 2021-10-21 | Telefonaktiebolaget Lm Ericsson (Publ) | Incrementally Distributing User Equipment Capability Information Using a Model Identifier |
| CN111083719A (en) * | 2018-10-22 | 2020-04-28 | ***通信有限公司研究院 | Method, device and storage medium for flexibly adjusting network element capacity |
| CN109474464A (en) * | 2018-11-13 | 2019-03-15 | 电子科技大学 | A kind of fast network update method based on OpenNF mechanism |
| CN109451506A (en) * | 2018-11-27 | 2019-03-08 | 中国联合网络通信集团有限公司 | Appraisal procedure, device, terminal and the computer storage medium of LTE dilatation |
| CN111526031A (en) * | 2019-12-20 | 2020-08-11 | 西安抱朴通信科技有限公司 | Method and device for expanding and shrinking volume of VNF (virtual network function) |
| CN113079189A (en) * | 2020-01-03 | 2021-07-06 | ***通信集团广东有限公司 | Capacity control method and device for capacity open platform and electronic equipment |
| CN113300899A (en) * | 2020-04-15 | 2021-08-24 | 阿里巴巴集团控股有限公司 | Network capability opening method, network system, device and storage medium |
| CN113825152A (en) * | 2020-06-18 | 2021-12-21 | 中兴通讯股份有限公司 | Capacity control method, network management device, management arrangement device, system and medium |
| CN113923785A (en) * | 2021-10-20 | 2022-01-11 | 中国联合网络通信集团有限公司 | Network management system and method based on cloud network cooperation |
| CN114389953A (en) * | 2021-12-30 | 2022-04-22 | 中国—东盟信息港股份有限公司 | Kubernetes container dynamic expansion and contraction method and system based on flow prediction |
Non-Patent Citations (6)
| Title |
|---|
| "\"28500-110\"", 3GPP SPEC\\28_SERIES * |
| "\"techenical and editorial update on 28500-120\"", 3GPP TSG_SA\\WG5_TM * |
| "System architecture for the 5G system (5GS)", 3GPP:TS23.501 V16.5.0 * |
| FU X Y等: "Dynamic service function chain embedding for NFV-enabled IoT: a deep rein- forcement learning approach", 《IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS》, pages 507 - 519 * |
| XIAOYUAN FU等: "Performance Optimization for Blockchain-Enabled Distributed Network Function Virtualization Management and Orchestration", 《 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY》, vol. 69, no. 6, pages 6670 - 6679, XP011794207, DOI: 10.1109/TVT.2020.2985581 * |
| 廖建新: "智能开放的新一代电信业务体系及关键技术", 《研究与开发》, pages 33 - 40 * |
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