CN109714795A - A kind of method for managing resource, resource management system and device based on SDN network slice - Google Patents
A kind of method for managing resource, resource management system and device based on SDN network slice Download PDFInfo
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- 238000011156 evaluation Methods 0.000 claims description 11
- 238000004458 analytical method Methods 0.000 claims description 6
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Abstract
The invention discloses a kind of method for managing resource based on SDN network slice, method includes the following steps: monitoring the handling capacity in all tenant network slices and the bandwidth of distribution, and bandwidth resources utilization rate is calculated separately, wherein the corresponding handling capacity of i-th of tenant is denoted as Ti, the bandwidth of distribution is denoted as Ai, corresponding bandwidth resources utilization rate Ui；According to the bandwidth resources utilization rate UiJudge the state of corresponding bandwidth resources, and the network of all tenants slice is marked；The adjustment of bandwidth resources is carried out to the network slice after label；Optimal resource utilization is obtained using particle swarm optimization algorithm, and bandwidth resources are allocated.The present invention is capable of providing and needs the slice of bandwidth resources, redistributes to bandwidth resources, in distribution resource process, design evaluatio function finds out optimal solution using particle swarm optimization algorithm, thus the resource utilization being optimal, the flexibility of network is improved, bandwidth resources utilization rate is improved.
Description
Technical field
The present invention relates to mobile communication technology fields, and in particular to it is a kind of based on SDN network slice method for managing resource,
Resource management system and device.
Background technique
In the 5G epoch, Internet service object and application scenarios become diversification, however are each Service and Construction one
Dedicated physical network is not simultaneously unrealistic also efficient.Network slice comes into being, and the data volume that difference slice passes through is not identical
, if bandwidth resources be it is fixed, it is possible that certain slice congestions, other slice utilization rates are very low.
Summary of the invention
Goal of the invention: for overcome the deficiencies in the prior art, the present invention provides a kind of resource pipe based on SDN network slice
Reason method, this method can solve the low problem of utilization rate of bandwidth resources, and in addition the present invention also provides one kind to be based on SDN network
The resource management system and device of slice.
Technical solution: the method for managing resource of the present invention based on SDN network slice, this method includes following step
It is rapid:
(1) handling capacity in all tenant network slices and the bandwidth of distribution are monitored, and calculates separately bandwidth resources utilization
Rate, wherein the corresponding handling capacity of i-th of tenant is denoted as Ti, the bandwidth of distribution is denoted as Ai, corresponding bandwidth resources utilization rate Ui；
(2) according to the bandwidth resources utilization rate UiJudge the state of corresponding bandwidth resources, and to the net of all tenants
Network slice is marked；
(3) adjustment of bandwidth resources is carried out to the network slice after label；
(4) optimal resource utilization is obtained using particle swarm optimization algorithm, and bandwidth resources is allocated.
Preferably, in the step (1), bandwidth resources utilization rate
Preferably, in the step (2), if bandwidth resources utilization rate Ui≤ A α is labeled as resource provider, if Ui>=A β,
Then it is labeled as resource requirement person, wherein A is the bandwidth for distributing to i-th of tenant network slice, and α and β are current allocated bandwidth
Two percentages, 0 < α≤β < 1.
Preferably, in the step (3), if all tenants are resource requirement person, not to the bandwidth of the distribution into
Row adjustment；
Otherwise, if all tenants are resource provider, the bandwidth of the distribution is not adjusted；
Otherwise, if part tenant is resource requirement person, another part is resource provider, then by constraint condition to distribution
Bandwidth be adjusted, the constraint condition isWherein m is tenant's number of resource provider, and n needs for resource
The tenant's number for the person of asking, AkFor the bandwidth allocation of k-th of tenant, 1≤k≤m+n, A'jFor the bandwidth adjusted of j-th of tenant, 1
≤j≤m+n。
Preferably, in the step (4), optimal resource utilization is found out using particle swarm optimization algorithm and is specifically included:
(41) optimal solution is found by the evaluation function of iteration particle swarm optimization algorithm, the evaluation function isWherein, UtThe average bandwidth resource utilization being sliced for this m+n；
(42) continuous iteration is until meeting preset constraint condition, the constraint conditionWherein A'
For bandwidth adjusted.
(43) in iterative process, particle using following formula update oneself speed and new position,
Wherein, v [] is the speed of particle, and w is inertia weight, and present [] is the position of current particle, and pbest [] is
Individual extreme value, gbest [] are global extremums, and rand () is the random number between 0 to 1, c1And c2It is Studying factors.
On the other hand, the present invention also provides a kind of resource management systems based on SDN network slice, comprising:
Network monitoring module, for monitoring the handling capacity in all tenant network slices and the bandwidth of distribution, wherein i-th
The corresponding handling capacity of tenant is denoted as Ti, the bandwidth of distribution is denoted as Ai；
Deployment analysis module calculates the bandwidth resources utilization rate of all tenants for analyzing the data monitored,
The corresponding bandwidth resources utilization rate U of i-th of tenanti, and according to the bandwidth resources utilization rate UiJudge corresponding bandwidth resources
State, and the network of all tenants slice is marked；
Broadband resource adjusts module, for carrying out the adjustment of bandwidth resources to the network slice after label；
Best resource utilization rate generation module, for obtaining optimal resource utilization using particle swarm optimization algorithm, and
Bandwidth resources are allocated.
Preferably, in the deployment analysis module, if the corresponding bandwidth resources utilization rate U of i-th of tenanti≤ A α, label
For resource provider, if Ui>=A β is then labeled as resource requirement person, wherein A is the band for distributing to i-th of tenant network slice
Width, α and β are two percentages of current allocated bandwidth, 0 < α≤β < 1.
Preferably, in the broadband resource adjustment module, if all tenants are resource requirement person, not to the distribution
Bandwidth be adjusted；
Otherwise, if all tenants are resource provider, the bandwidth of the distribution is not adjusted；
Otherwise, if part tenant is resource requirement person, another part is resource provider, then by constraint condition to distribution
Bandwidth be adjusted, the constraint condition isWherein m is tenant's number of resource provider, and n needs for resource
The tenant's number for the person of asking, AkFor the bandwidth allocation of k-th of tenant, 1≤k≤m+n, A'jFor the bandwidth adjusted of j-th of tenant, 1
≤j≤m+n。
Preferably, in the best resource utilization rate generation module, optimal resource is found out using particle swarm optimization algorithm
Utilization rate specifically includes:
S1 finds optimal solution by the evaluation function of iteration particle swarm optimization algorithm, and the evaluation function isWherein, UtThe average bandwidth resource utilization being sliced for this m+n；
The continuous iteration of S2 is until meeting preset constraint condition, the constraint conditionWherein A' is
Bandwidth adjusted.
In S3 iterative process, particle using following formula update oneself speed and new position,
Wherein, v [] is the speed of particle, and w is inertia weight, and present [] is the position of current particle, and pbest [] is
Individual extreme value, gbest [] are global extremums, and rand () is the random number between 0 to 1, c1And c2It is Studying factors
On the other hand, the present invention also provides it is a kind of based on SDN network slice resource management apparatus, including multiple tenants,
Several interchangers, several controllers, remote controllers and server, the interchanger is to the handling capacity in tenant network slice
And the bandwidth of distribution is monitored, and monitoring data is sent to controller, controller judge whether to the bandwidth of tenant into
Row adjustment then obtains optimum bandwidth using particle swarm optimization algorithm, band data is sent to long-range control if necessary to adjust
Device, and server update is notified to distribute to the width of each tenant's slice, the remote controllers are adjusted bandwidth resources.
The utility model has the advantages that compared with prior art, the present invention its remarkable advantage is: the present invention be based on SDN network structure,
By detecting the handling capacity in each slice of network, and the utilization rate of computation bandwidth resource, it is determined to provide and need band
The slice of wide resource, redistributes bandwidth resources, and in distribution resource process, design evaluatio function utilizes particle group optimizing
Algorithm finds out optimal solution, so that the resource utilization being optimal, improves the flexibility of network, improves bandwidth resources utilization rate.
Detailed description of the invention
Fig. 1 is method for managing resource flow chart of the present invention；
Fig. 2 is bandwidth resources status diagram of the present invention；
Fig. 3 is particle swarm optimization algorithm flow diagram of the present invention；
Fig. 4 is the emulation topological diagram of resource management apparatus of the present invention；
Fig. 5 is the emulation schematic diagram of the invention optimum individual fitness；
Fig. 6 is the bandwidth and optimal resource utilization analogous diagram of the present invention readjusted after distribution.
Specific embodiment
Embodiment 1
As shown in Figure 1, the method for managing resource proposed by the invention based on SDN network slice, has high-efficient, calculating
The features such as complexity is low.First resource utilization determine and only to congestion or there are the slices of waste of resource to adjust
It is whole, it does not need to be adjusted all slices, reduces because of adjustment bring delay, combine particle swarm optimization algorithm to utilization
Rate optimizes, method includes the following steps:
(1) handling capacity in all tenant network slices and the bandwidth of distribution are monitored, and calculates separately bandwidth resources utilization
Rate, wherein the corresponding handling capacity of i-th of tenant is denoted as Ti, the bandwidth of distribution is denoted as Ai, corresponding bandwidth resources utilization rate Ui；Its
In,
(2) according to the bandwidth resources utilization rate UiJudge the state of corresponding bandwidth resources, and to the net of all tenants
Network slice is marked；
As shown in Fig. 2, if Ui≤ A α then illustrates to be labeled as resource provider there are the wasting of resources.If Ui>=A β, then
Illustrate to be labeled as resource requirement person there are congestion situation.A is the bandwidth for distributing to tenant network slice, and α and β are current distribution
Two percentages of bandwidth, wherein 0 < α≤β < 1.
(3) adjustment of bandwidth resources is carried out to the network slice after label；
Broadband resource adjusts in module, if all tenants are resource requirement person, does not carry out to the bandwidth of the distribution
Adjustment；
Otherwise, if all tenants are resource provider, the bandwidth of the distribution is not adjusted；
Otherwise, if part tenant is resource requirement person, another part is resource provider, then by constraint condition to distribution
Bandwidth be adjusted, the constraint condition isWherein m is tenant's number of resource provider, and n needs for resource
The tenant's number for the person of asking, AkFor the bandwidth allocation of k-th of tenant, 1≤k≤m+n, A'jFor the bandwidth adjusted of j-th of tenant, 1
≤j≤m+n。
(4) optimal resource utilization is obtained using particle swarm optimization algorithm, and bandwidth resources is allocated.
As shown in figure 3, finding optimal solution by iteration using particle swarm optimization algorithm.Evaluation function is
Wherein UtThe average bandwidth resource utilization being sliced for this m+n, algorithm need to meet constraint condition and areIts
Middle A' is bandwidth adjusted.
Particle updated according to following formula oneself speed and new position.
Wherein, v [] is the speed of particle, and w is inertia weight, and present [] is the position of current particle, and pbest [] is
Individual extreme value, gbest [] are global extremums, and rand () is the random number between 0 to 1, c1And c2It is Studying factors.
On the other hand, the present invention also provides a kind of resource management systems based on SDN network slice, comprising:
Network monitoring module, for monitoring the handling capacity in all tenant network slices and the bandwidth of distribution, wherein i-th
The corresponding handling capacity of tenant is denoted as Ti, the bandwidth of distribution is denoted as Ai；
Deployment analysis module calculates the bandwidth resources utilization rate of all tenants for analyzing the data monitored,
The corresponding bandwidth resources utilization rate U of i-th of tenanti, and according to the bandwidth resources utilization rate UiJudge corresponding bandwidth resources
State, and the network of all tenants slice is marked；
Broadband resource adjusts module, for carrying out the adjustment of bandwidth resources to the network slice after label；
Best resource utilization rate generation module, for obtaining optimal resource utilization using particle swarm optimization algorithm, and
Bandwidth resources are allocated.
In one of the embodiments, in the deployment analysis module, if the corresponding bandwidth resources utilization rate of i-th of tenant
Ui≤ A α is labeled as resource provider, if Ui>=A β is then labeled as resource requirement person, wherein A is to distribute to i-th of tenant's net
The bandwidth of network slice, α and β are two percentages of current allocated bandwidth, 0 < α≤β < 1.
In one of the embodiments, in the broadband resource adjustment module, if all tenants are resource requirement person,
The bandwidth of the distribution is not adjusted；
Otherwise, if all tenants are resource provider, the bandwidth of the distribution is not adjusted；
Otherwise, if part tenant is resource requirement person, another part is resource provider, then by constraint condition to distribution
Bandwidth be adjusted, the constraint condition isWherein m is tenant's number of resource provider, and n needs for resource
The tenant's number for the person of asking, AkFor the bandwidth allocation of k-th of tenant, 1≤k≤m+n, A'jFor the bandwidth adjusted of j-th of tenant, 1
≤j≤m+n。
In one of the embodiments, in the best resource utilization rate generation module, asked using particle swarm optimization algorithm
Optimal resource utilization specifically includes out:
S1 finds optimal solution by the evaluation function of iteration particle swarm optimization algorithm, and the evaluation function isWherein, UtThe average bandwidth resource utilization being sliced for this m+n；
The continuous iteration of S2 is until meeting preset constraint condition, the constraint conditionWherein A' is
Bandwidth adjusted.
In S3 iterative process, particle using following formula update oneself speed and new position,
Wherein, v [] is the speed of particle, and w is inertia weight, and present [] is the position of current particle, and pbest [] is
Individual extreme value, gbest [] are global extremums, and rand () is the random number between 0 to 1, c1And c2It is Studying factors.
In addition, the present invention also provides a kind of resource management apparatus based on SDN network slice, including multiple tenants, according to
Several interchangers of route choosing, preferably Openflow interchanger, several controllers and a remote controllers, preferably
FlowVisor remote controllers and server, band of the interchanger to handling capacity and distribution in tenant network slice
Width is monitored, and monitoring data is sent to controller, and how much the quantity of controller suitably selects according to tenant, and controls
Concurrent working between device, controller judge whether to be adjusted the bandwidth of tenant, if necessary to adjust, then excellent using population
Change algorithm and obtain optimum bandwidth, band data is sent to remote controllers, and server update is notified to distribute to each tenant
The width of slice, the remote controllers are adjusted bandwidth resources.
In order to verify effectiveness of the invention, emulation experiment is made, it is assumed that there are three tenants, using three controllers and three
A interchanger, as shown in figure 4, each tenant's bandwidth allocation is 30Mbps, handling capacity 10Mbps, 20Mbps, 21Mbps, α and β
Respectively 0.4 and 0.6, particle swarm algorithm simulation result such as Fig. 5 and Fig. 6.Know that the bandwidth after optimization is respectively by emulation
16.6667Mbps 33.3652Mbps, 39.9681Mbps.It is respectively 0.5999988 by can be calculated utilization rate,
0.5994269487,0.5254190217, meet the requirement for improving bandwidth resources utilization rate.
Claims (10)
1. a kind of method for managing resource based on SDN network slice, which is characterized in that method includes the following steps:
(1) handling capacity in all tenant network slices and the bandwidth of distribution are monitored, and calculates separately bandwidth resources utilization rate,
In the corresponding handling capacity of i-th of tenant be denoted as Ti, the bandwidth of distribution is denoted as Ai, corresponding bandwidth resources utilization rate Ui；
(2) according to the bandwidth resources utilization rate UiJudge the state of corresponding bandwidth resources, and the network of all tenants is sliced
It is marked；
(3) adjustment of bandwidth resources is carried out to the network slice after label；
(4) optimal resource utilization is obtained using particle swarm optimization algorithm, and bandwidth resources is allocated.
2. the method for managing resource according to claim 1 based on SDN network slice, which is characterized in that the step (1)
In, bandwidth resources utilization rate
3. the method for managing resource according to claim 1 or 2 based on SDN network slice, which is characterized in that the step
(2) in, if bandwidth resources utilization rate Ui≤ A α is labeled as resource provider, if Ui>=A β is then labeled as resource requirement person,
In, A is the bandwidth for distributing to i-th of tenant network slice, and α and β are two percentages of current allocated bandwidth, 0 < α≤β < 1.
4. the method for managing resource according to claim 3 based on SDN network slice, which is characterized in that the step (3)
In, if all tenants are resource requirement person, the bandwidth of the distribution is not adjusted；
Otherwise, if all tenants are resource provider, the bandwidth of the distribution is not adjusted；
Otherwise, if part tenant is resource requirement person, another part is resource provider, then by constraint condition to the band of distribution
Width is adjusted, and the constraint condition isWherein m is tenant's number of resource provider, and n is resource requirement person
Tenant's number, AkFor the bandwidth allocation of k-th of tenant, 1≤k≤m+n, A'jFor the bandwidth adjusted of j-th of tenant, 1≤j≤
m+n。
5. the method for managing resource according to claim 4 based on SDN network slice, which is characterized in that the step (4)
In, optimal resource utilization, which is found out, using particle swarm optimization algorithm specifically includes:
(41) optimal solution is found by the evaluation function of iteration particle swarm optimization algorithm, the evaluation function isWherein, UtThe average bandwidth resource utilization being sliced for this m+n；
(42) continuous iteration is until meeting preset constraint condition, the constraint conditionWherein A' is to adjust
Bandwidth after whole；
(43) in iterative process, particle using following formula update oneself speed and new position,
Wherein, v [] is the speed of particle, and w is inertia weight, and present [] is the position of current particle, and pbest [] is individual
Extreme value, gbest [] are global extremums, and rand () is the random number between 0 to 1, c1And c2It is Studying factors.
6. a kind of resource management system based on SDN network slice characterized by comprising
Network monitoring module, for monitoring the handling capacity in all tenant network slices and the bandwidth of distribution, wherein i-th of tenant
Corresponding handling capacity is denoted as Ti, the bandwidth of distribution is denoted as Ai；
Deployment analysis module calculates the bandwidth resources utilization rate of all tenants for analyzing the data monitored, and i-th
The corresponding bandwidth resources utilization rate U of a tenanti, and according to the bandwidth resources utilization rate UiJudge the shape of corresponding bandwidth resources
State, and the network of all tenants slice is marked；
Broadband resource adjusts module, for carrying out the adjustment of bandwidth resources to the network slice after label；
Best resource utilization rate generation module, for obtaining optimal resource utilization using particle swarm optimization algorithm, and to band
Wide resource is allocated.
7. the resource management system according to claim 6 based on SDN network slice, which is characterized in that the deployment point
It analyses in module, if the corresponding bandwidth resources utilization rate U of i-th of tenanti≤ A α is labeled as resource provider, if Ui>=A β, then mark
It is denoted as resource requirement person, wherein A is the bandwidth for distributing to i-th of tenant network slice, and α and β are two of current allocated bandwidth
Percentage, 0 < α≤β < 1.
8. the resource management system according to claim 7 based on SDN network slice, which is characterized in that the broadband money
Source adjusts in module, if all tenants are resource requirement person, is not adjusted to the bandwidth of the distribution；
Otherwise, if all tenants are resource provider, the bandwidth of the distribution is not adjusted；
Otherwise, if part tenant is resource requirement person, another part is resource provider, then by constraint condition to the band of distribution
Width is adjusted, and the constraint condition isWherein m is tenant's number of resource provider, and n is resource requirement person
Tenant's number, AkFor the bandwidth allocation of k-th of tenant, 1≤k≤m+n, A'jFor the bandwidth adjusted of j-th of tenant, 1≤j≤
m+n。
9. the resource management system according to claim 8 based on SDN network slice, which is characterized in that the best money
In source utilization rate generation module, optimal resource utilization is found out using particle swarm optimization algorithm and is specifically included:
S1 finds optimal solution by the evaluation function of iteration particle swarm optimization algorithm, and the evaluation function is
Wherein, UtThe average bandwidth resource utilization being sliced for this m+n；
The continuous iteration of S2 is until meeting preset constraint condition, the constraint conditionWherein A' is adjustment
Bandwidth afterwards；
In S3 iterative process, particle using following formula update oneself speed and new position,
Wherein, v [] is the speed of particle, and w is inertia weight, and present [] is the position of current particle, and pbest [] is individual
Extreme value, gbest [] are global extremums, and rand () is the random number between 0 to 1, c1And c2It is Studying factors.
10. it is a kind of based on SDN network slice resource management apparatus, which is characterized in that including multiple tenants, several interchangers,
Several controllers, remote controllers and server, the interchanger to tenant network be sliced in handling capacity and distribution
Bandwidth is monitored, and monitoring data is sent to controller, and controller judges whether to be adjusted the bandwidth of tenant, if
It needs to adjust, then obtains optimum bandwidth using particle swarm optimization algorithm, band data is sent to remote controllers, and notify to take
Business device is more newly assigned to the width of each tenant's slice, and the remote controllers are adjusted bandwidth resources.
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