CN110351145A - A kind of radio network functions method of combination of the virtualization based on economic benefit - Google Patents
A kind of radio network functions method of combination of the virtualization based on economic benefit Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/142—Network analysis or design using statistical or mathematical methods
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
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- H—ELECTRICITY
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Abstract
The invention discloses the virtualization radio network functions based on economic benefit to compile method.This method establishes virtualization radio network functions layout mathematic optimal model, proposes a kind of virtualization radio network functions layout process (VNFPSO) based on economic benefit.The characteristics of occurring for the opening, the discreteness of network function, network load exponentially for virtualizing Radio Access Network framework, to classical particle colony optimization algorithm inertia weight, particle variations, in terms of corrected, accelerate the solving speed of global approximate optimal solution.The present invention helps to reduce the service denial rate of virtualization Radio Access Network, improves the utilization rate of network system resources.
Description
Technical field
The present invention relates to the communications fields, and in particular to a kind of radio network functions layout of the virtualization based on economic benefit
Method.
Background technique
As network function virtualizes (NFV) and software defined network (SDN) process, network function layout is virtualized
(NFVO) be considered as future network soul, will become operator's flexible management network, maximize play new technology advantage
Key.NFVO helps to standardize the function of virtual network, to improve the interoperability of software-defined network element.Its energy
Enough execute resource layout, network service orchestration and other function layout.It can set independently of any specific Virtual base
Manager is applied to coordinate, authorize, issue and use resource, the management of the VNF example of shared NFV infrastructure resources is also provided.
European Telecommunications Standards Institute (ETSI) specially develops NFVO composer.Therefore, to the radio network functions layout side of virtualization
Method research is of great significance and practical value.
Existing NFVO is broadly divided into two types.(1) carry out layout to the function of node (Middlebox): it is one
Special network hardware equipment is substituted in platform server with software.Md Faizul Bari and Shihabur Rahman
Chowdhury is in 2016 in " IEEE Transactions on Network and Service Management " periodical
On publish thesis " Orchestrating Virtualized Network Functions ", propose it is a kind of utilize integer line
Property planing method carry out the virtualization network function of layout core network, reduce network operation cost and improve resource utilization.Meanwhile
VNFO problem is solved using the heuritic approach of nested bin packing.(2) to the link of virtualization (Service Function
Chaining) carry out layout: it, which refers to, is dynamically integrated into one or more service functions in service function link, such as content
Distribution network.Tarik Taleb and Adlen Ksentini are in 2016 in " IEEE Transactions On Wireless
Communications " publish thesis on periodical " Coping With Emerging Mobile Social Media
Applications Through Dynamic Service Function Chaining ", proposes a kind of service function chain
Layout process.It identifies mobile weblication and the user positioned at same neighborhood first, then defines to related data flow
The correlated process of application, and in mobile domains handle multicast procedures foundation.
Existing NFVO process is mainly specifically sometime specifically basic for specific a certain application layout
Facility, thus the maximization of optimized integration facility overall value, but existing NFVO process can not achieve the warp of infrastructure
Ji maximizing the benefits, Provider Equipment purchase cost and O&M expenditure are very high.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide one kind can reduce virtualization Radio Access Network
Service denial rate, improve the virtualization radio network functions layout side based on economic benefit of the utilization rate of network system resources
Method.
The object of the present invention is achieved like this:
S1: identification Web service selects the component of virtualization network function according to the total resources of resource pool, respectively to Web
The corresponding resource of required function, the function of physical network, the function of physical network are applied using required function, Web
Corresponding resource, virtualization network function layout process founding mathematical models;
S2: the mathematical model that S1 step is established is converted into particle swarm algorithm model;
S3: inertia weight parameter, particle variations parameter, the Studying factors ginseng of the particle swarm algorithm model in optimization S2 step
Number;
S4: wireless access network is carried out using the model parameter after optimizing in S3 step and virtualizes network function layout.
Further, the step S1 includes the following steps,
S101: carrying out mathematical modeling using required function to Web includes,
Definition is R using the virtual functions request function of ii=(Fi,QoSi),
Wherein, FiIt is the virtual functions set of an application i request,
Fi={ f1,fj,fn}
FiMathematical expression form be: where fj={ id, name, description, note }
Wherein, j indicates FiJth item function, n indicate FiN-th function, i.e., the number of function in functional resources pond, j,
N is natural number, j < n,
Id indicates virtual functions identification number,
Name indicates virtual functions title,
Description indicates the explanation of virtual functions,
Note indicates annotation information;
QoSiIt is the virtual functions f of the request of an application ijCorresponding attribute, QoSiMathematical expression form be:
Wherein, fjIndicate a specific virtual functions, akIndicate a virtual functions fjThe attribute being had, k indicate empty
Quasi- function fjKth item attribute, m indicate virtual functions fjM attributes, it indicate information resources, b indicate bandwidth resources, p
Power resource in radio frequency;
S102: carrying out mathematical modeling to physical network resource, including,
The cost for defining unit frequency spectrum resource is cs, using i virtual functions fjAttribute akThe number of required bandwidth resources
ForS indicates frequency spectrum, and B is the size of per bit rate,
Define wireless access links ηsThe cost of unit frequency spectrum benefit are as follows:
Wherein, γiIt is signal-to-noise ratio, the cost for defining the power resource in unit radio frequency is cp, wireless access links ηpUnit
The cost of power resource benefit in radio frequency is ηp=pk×cp,
The cost for defining unit information resource is cit, service ηitThe cost of consumption information resource is ηp=itk×cit,
The deployment benefit η of VNFdCost be ηd=σb×ηs+σp×ηp+σit×ηit,
Wherein, σb、σp、σitIt is weight coefficient, 0≤σb,σp,σit≤ 1, and σb+σp+σit=1;
S103: carrying out mathematical modeling to virtualization network function layout process, including,
Building virtualization network function layout process mathematical model:
Wherein μi,jIt is cost function, indicates that there is attribute akVirtual functions module fjThe required cost paid,
xj',k'Indicate the functional module of selection, Ri,j,k→it≤N×xj',k'→ it, Ri,j,k→p≤N×xj',k'→ p,
Ri,j,k→b≤N×xj',k'→ b, which indicates that selection is N number of, has attribute akVirtual functions module fjIT resource value, frequency spectrum resource,
Transmitting-receiving power resource is greater than or waits the resource value requested using i, and N is natural number,Indicate virtual functions module fi
With virtual functions module fi+yThere are dependence, fi≠fi+yIndicate virtual functions module fiWith virtual functions module fi+yThere are rows
Reprimand relationship, costj,kRefer to multiple with attribute ajVirtual functions module fiThe cost paid when using side by side, Mcostj,kRefer to
It is multiple that there is attribute ajVirtual functions module fiIt is used in conjunction with the cost paid when a resource, δs, δp, δitFor combination
At functional module xj',k'Coefficient;
S104: optimizing virtualization network function layout process mathematical model, include the following steps,
S1041: addition constraint condition: Wherein s', p', it' indicate that the related resource used, all indicate all money
Source;
S1042: virtualization network function layout process mathematical model is optimized for for the first time
Virtual functions module f is increased using following formula in optimization processiCost cost, μj,k'=μj,k+μj+y,k, y
For temporary variable;
S1043: it is by quasi-ization network function layout process mathematical model optimizing
Further, the step S2 includes the following steps,
S201: in total dimension D=m*n of Virtual Service Arrangement solution space, appoint and L particle is taken to form a group
Body, i are less than L, wherein i-th of particle kth for when described using two indices, using the value of virtual functions attribute as PSO
Position, be expressed asD dimensional vector, it is fast as the flight of PSO that virtual functions attribute value changes speed
Degree, is expressed asD dimensional vector, wherein t indicate particle t time fly;
S202: i-th particle search to kth for when individual history optimal location be
Search for kth for when the history optimal location g of entire population beAt+1 generation of kth,
The iteration more new formula of jth the dimension speed and position of i-th of particle are as follows:Its
In, ω is inertia weight, the influence mobile to next time of the speed for measuring previous moment, c1And c2For Studying factors, r1And r2
For the random number in [0,1].
Further, the step S3 includes the following steps,
S301: the inertia weight ω of dynamic regulation traditional PS O algorithm, when particle position close to individual history optimal location or
It improves convergent resolution ratio when the entire population history optimal location of person and reduces the flying speed of particle, when particle position is separate
Accelerate convergence rate when individual history optimal location or the history optimal location of entire population and improves the flight speed of particle
Degree, inertia weight ω are given by:
Wherein, tv1And tv2It is threshold value, c1iAnd c2iFor the Studying factors of i-th, r1iAnd r2iFor the random number of i-th;
S302: the design for the particle that makes a variation, comprising the following steps:
S3021: ifThen determine psiFor the particle that makes a variation, wherein tp is threshold values,
S3022: set variation the smooth moving distance of particle as
Wherein Bd (k) is the smooth moving distance of variation particle in kth generation, and L is the interval number between two particles;
S3023: set the variation equation of particle as
The beneficial effects of the present invention are:
1. the present invention can reduce Provider Equipment purchase cost and O&M branch under the conditions of guaranteeing flexibility and opening
Out, the present invention does not consider the network function sequencing of each virtualization from the angle of economic benefit, studies wireless dummy
Change Internet resources layout.In the practical O&M of operator, the variation of network and the adjustment demand of resource are often derived from service layer,
The control and analysis of business simultaneously also be unable to do without the understanding to resource level, and the two has complicated connection, present invention virtualization
The function that application may be implemented in network function layout realizes the maximization of economic benefit of " customized " and infrastructure.
2. the present invention helps to reduce the service denial rate of virtualization Radio Access Network, the benefit of network system resources is improved
With rate.
Detailed description of the invention
Fig. 1 is one embodiment of the invention flow chart.
Fig. 2 is one embodiment of the invention system architecture schematic diagram.
Specific embodiment
The present invention solves invention thinking of problems in background technique, and the present invention is by establishing virtualization wireless network
Function layout mathematic optimal model proposes a kind of virtualization radio network functions layout process based on economic benefit
(VNFPSO).Go out for the opening, the discreteness of network function, network load exponentially of virtualization Radio Access Network framework
Existing feature, to classical particle colony optimization algorithm inertia weight, particle variations, in terms of corrected, add
The fast solving speed of global approximate optimal solution, facilitates the service denial rate for reducing virtualization Radio Access Network, improves net
The utilization rate of network system resource.
As shown in Figure 1, the present invention provides a kind of radio network functions method of combination packet of virtualization based on economic benefit
Include following steps,
S1: identification Web service selects the group of virtualization network function according to the total resources of the characteristic of business and resource pool
Part, respectively to Web application, physical network resource and virtualization network function layout process founding mathematical models;
S2: the mathematical model that S1 step is established is converted into particle swarm algorithm model;
S3: inertia weight parameter, particle variations parameter, the Studying factors ginseng of the particle swarm algorithm model in optimization S2 step
Number;
S4: wireless access network is carried out using the model parameter after optimizing in S3 step and virtualizes network function layout.
Step S1 is specifically described below:
Step S1 includes needing first to identify Web service for virtualization network function layout, further according to the resource of resource pool
The component and link of the required virtualization network function of total amount selection carry out Arrangement, provide respectively to Web application, physical network
Source and virtualization network function layout process founding mathematical models.
Step S1 specifically includes following steps,
The modeling of S101:Web applied mathematics
The virtual functions request function of i is applied in definition are as follows: Ri=(Fi,QoSi)
Wherein, FiIt is the virtual functions set of an application i request.FiMathematical expression form be: Fi={ f1,fj,fn}
where fj={ id, name, description, note }.
QoSiIt is the virtual functions f of the request of an application ijCorresponding attribute.QoSiMathematical expression form be:
Wherein, fjIndicate a specific virtual functions, akIndicate a virtual functions fjThe attribute being had, k indicate empty
Quasi- function fjKth item attribute, m indicate virtual functions fjM attributes, it indicate information resources, b indicate bandwidth resources, p
Power resource in radio frequency, n are the numbers of function in resource pool;
S102: physical network resource mathematical modeling
The cost for defining unit frequency spectrum resource is cs.Using i virtual functions fjAttribute akThe number of required bandwidth resources
B is the size of per bit rate.Define wireless access links ηsThe cost of unit frequency spectrum benefit is:
γiIt is signal-to-noise ratio.The cost for defining the power resource in unit radio frequency is cp.Wireless access links ηpUnit radio frequency
In the cost of power resource benefit be: ηp=pk×cp。
The cost for defining unit information resource is cit.Service ηitThe cost of consumption information resource is ηp=itk×cit。
The deployment benefit of VNF is that cost is used in combination in frequency spectrum resource, power resource, information resources.The deployment benefit η of VNFd
Cost be ηd=σb×ηs+σp×ηp+σit×ηit。
Wherein, σb、σp, be weight coefficient, 0≤σb,σp,σit≤ 1, and σb+σp+σit=1.
S103: virtualization network function layout process mathematical modeling
Virtualizing network function layout process mathematical model is
Wherein μi,jIt is cost function, it indicates there is attribute akVirtual functions module fjThe required cost paid.
xj',k'Indicate the functional module of selection.Ri,j,k→it≤N×xj',k'→ it, Ri,j,k→p≤N×xj',k'→ p, Ri,j,k→b≤N
×xj',k'→ b, which indicates that selection is N number of, has attribute akVirtual functions module fjIT resource value, frequency spectrum resource, transmitting-receiving power money
Source is greater than or waits the resource value requested using i.Indicate virtual functions module fiWith virtual functions module fi+yIt deposits
In dependence, if fiIn the presence of then fi+yIt there will necessarily be.fi≠fi+yIndicate virtual functions module fiWith virtual functions module fi+y
There are exclusion relations, if fiIn the presence of then fi+yIt must be not present.costj,kRefer to multiple with attribute ajVirtual functions module fi
The cost paid when using side by side.Mcostj,kRefer to multiple with attribute ajVirtual functions module fiIt is used in conjunction with a money
The cost paid when source.δs, δp, δitDenotes is combined into functional module xj',k'Coefficient
S104: virtualization network function layout process mathematical model optimizing
S1041: Virtual Service layout substantially concentrates from virtual functions and selects sub- virtual functions.When construction cost is equal
When, specific selection scheme has diversity.In order to reduce the difficulty of solution, while resource anxiety Cheng Du is embodied, added as follows
Constraint condition:
Wherein s', p', it' indicate the related resource used.All indicates all resources.
S1042: quasi-ization network function layout process mathematical model is optimized for for the first time
Virtual functions module fiWith virtual functions module fi+yThere are exclusion relations, can embody in service request.Cause
This, in solution procedure,if fi≠fi+yConstraint condition can delete.Virtual functions module simultaneously
fiWith virtual functions module fi+yThere are dependences, only increase virtual functions module f in solution procedureiCost cost,
Increment is shown below: μj,k'=μj,k+μj+y,k。
S1043: quasi-ization network function layout process mathematical model final optimization pass is
Step S2 is illustrated below:
Step S2 includes that the S1 mathematical model established is converted into classical particle swarm algorithm.
Step S2 specifically includes following steps,
S201: in total dimension D=mn of Virtual Service Arrangement solution space, appointing and L particle taken to form a group,
Wherein i-th (i < L) a particle is described in kth for Shi Keyong two indices: the value of virtual functions attribute can regard the position of PSO as
It sets, is expressed asD dimensional vector;Virtual functions attribute value variation speed can regard the flying speed of PSO as,
It is expressed asD dimensional vector.
S202: i-th particle search to kth for when individual history optimal location be
Search for kth for when the history optimal location of entire population beThen at+1 generation of kth, i-th
The jth dimension speed of particle and the iteration more new formula of position are original:
Wherein, ω is inertia weight, it measures influence of the speed of previous moment to movement next time.c1And c2For Studying factors, r1With
r2For the random number in [0,1].
Step S3 is illustrated below:
Step S3 includes inertia weight, particle variations, the Studying factors of the particle swarm algorithm in modification S2 step.
Step S3 specifically includes following steps,
S301: according to searching process, the inertia weight ω of dynamic regulation traditional PS O algorithm.When the close individual of particle position
It when history optimal location or the history optimal location of entire population, needs to improve convergent resolution ratio, reduces flying for particle
Scanning frequency degree.When history optimal location of the particle position far from individual history optimal location or entire population, need to accelerate
Convergence rate improves the flying speed of particle.To guarantee the preferable local search ability of algorithm and convergence rate, inertia weight ω by
It is given below:
Wherein, tv1And tv2It is threshold value, c1iAnd c2iFor the Studying factors of i-th, r1iAnd r2iFor the random number of i-th.
S302: the design for the particle that makes a variation is as follows:
S3021: ifThen determine psiFor the particle that makes a variation, wherein tp is threshold values.
S3022: variation the smooth moving distance of particle be
Wherein Bd (k) is the smooth moving distance of variation particle in kth generation.
S3023: the variation equation of particle is
The invention has the advantages that
1. the present invention can reduce Provider Equipment purchase cost and O&M branch under the conditions of guaranteeing flexibility and opening
Out, the present invention does not consider the network function sequencing of each virtualization from the angle of economic benefit, studies wireless dummy
Change Internet resources layout.In the practical O&M of operator, the variation of network and the adjustment demand of resource are often derived from service layer,
The control and analysis of business simultaneously also be unable to do without the understanding to resource level, and the two has complicated connection, present invention virtualization
The function that application may be implemented in network function layout realizes the maximization of economic benefit of " customized " and infrastructure.
2. the present invention helps to reduce the service denial rate of virtualization Radio Access Network, the benefit of network system resources is improved
With rate.
Finally, it is stated that preferred embodiment above is only used to illustrate the technical scheme of the present invention and not to limit it, although logical
It crosses above preferred embodiment the present invention is described in detail, however, those skilled in the art should understand that, can be
Various changes are made to it in form and in details, without departing from claims of the present invention limited range.
Claims (4)
1. a kind of radio network functions method of combination of the virtualization based on economic benefit, which is characterized in that include the following steps,
S1: identification Web service selects the component of virtualization network function according to the total resources of resource pool, applies respectively to Web
Required function, Web are corresponding using the corresponding resource of required function, the function of physical network, the function of physical network
Resource, virtualization network function layout process founding mathematical models;
S2: the mathematical model that S1 step is established is converted into particle swarm algorithm model;
S3: inertia weight parameter, particle variations parameter, the Studying factors parameter of the particle swarm algorithm model in optimization S2 step;
S4: wireless access network is carried out using the model parameter after optimizing in S3 step and virtualizes network function layout.
2. a kind of radio network functions method of combination of the virtualization based on economic benefit as described in claim 1, feature
It is, the step S1 includes the following steps,
S101: carrying out mathematical modeling using required function to Web includes,
Definition is R using the virtual functions request function of ii=(Fi,QoSi),
Wherein, FiIt is the virtual functions set of an application i request,
FiMathematical expression form be:
Wherein, j indicates FiJth item function, n indicate FiN-th function, j, n are natural number, j < n;
QoSiIt is the virtual functions f of the request of an application ijCorresponding attribute, QoSiMathematical expression form be:
Wherein, fjIndicate a specific virtual functions, akIndicate a virtual functions fjThe attribute being had, k indicate virtual function
It can fjKth item attribute, m indicate virtual functions fjM attributes, it indicate information resources, b indicate bandwidth resources, p be penetrate
Power resource in frequency;
S102: carrying out mathematical modeling to physical network resource, including,
The cost for defining unit frequency spectrum resource is cs, using i virtual functions fjAttribute akThe number of required bandwidth resources isS indicates frequency spectrum, and B is the size of per bit rate,
Define wireless access links ηsThe cost of unit frequency spectrum benefit are as follows:Wherein, γi
It is signal-to-noise ratio, the cost for defining the power resource in unit radio frequency is cp, wireless access links ηpPower resource in unit radio frequency
The cost of benefit is ηp=pk×cp,
The cost for defining unit information resource is cit, service ηitThe cost of consumption information resource is ηp=itk×cit, the portion of VNF
Affix one's name to benefit ηdCost be ηd=σb×ηs+σp×ηp+σit×ηit,
Wherein, σb、σp、σitIt is weight coefficient, 0≤σb,σp,σit≤ 1, and σb+σp+σit=1;
S103: carrying out mathematical modeling to virtualization network function layout process, including,
Building virtualization network function layout process mathematical model:
s.t.Ri,j,k→it≤N×xj',k'→it
Ri,j,k→p≤N×xj',k'→p
Ri,j,k→b≤N×xj',k'→b
Wherein μi,jIt is cost function, indicates that there is attribute akVirtual functions module fjThe required cost paid, xj',k'It indicates
The functional module of selection, Ri,j,k→it≤N×xj',k'→ it, Ri,j,k→p≤N×xj',k'→ p, Ri,j,k→b≤N×xj',k'→
B, which indicates that selection is N number of, has attribute akVirtual functions module fjIT resource value, frequency spectrum resource, transmitting-receiving power resource be greater than or
The resource value of the application i request such as person, N is natural number,Indicate virtual functions module fiWith virtual functions module fi+yIt deposits
In dependence, fi≠fi+yIndicate virtual functions module fiWith virtual functions module fi+yThere are exclusion relations, costj,kRefer to multiple
With attribute ajVirtual functions module fiThe cost paid when using side by side, Mcostj,kRefer to multiple with attribute ajIt is virtual
Functional module fiIt is used in conjunction with the cost paid when a resource, δs, δp, δitTo be combined into functional module xj',k'Be
Number;
S104: optimizing virtualization network function layout process mathematical model, include the following steps,
S1041: addition constraint condition: Wherein s', p', it' indicate that the related resource used, all indicate all money
Source;
S1042: virtualization network function layout process mathematical model is optimized for for the first time
s.t.Ri,j,k→it≤N×xj',k'→it
Ri,j,k→p≤N×xj',k'→p
Ri,j,k→b≤N×xj',k'→b
Virtual functions module f is increased using following formula in optimization processiCost cost, μj,k'=μj,k+μj+y,k, y is to face
Variations per hour;
S1043: it is by quasi-ization network function layout process mathematical model optimizing
s.t.Ri,j,k→it≤N×xj',k'→it
Ri,j,k→p≤N×xj',k'→p
Ri,j,k→b≤N×xj',k'→b。
3. a kind of radio network functions method of combination of the virtualization based on economic benefit as described in claim 1, feature
It is, the step S2 includes the following steps,
S201: in total dimension D=m*n of Virtual Service Arrangement solution space, appoint and L particle is taken to form a group, i is small
In L, wherein i-th of particle kth for when described using two indices, using the value of virtual functions attribute as the position of PSO,
It is expressed asD dimensional vector, virtual functions attribute value changes flying speed of the speed as PSO, expression
ForD dimensional vector, wherein t indicate particle t time fly;
S202: i-th particle search to kth for when individual history optimal location beSearch
To kth for when the history optimal location g of entire population beAt+1 generation of kth, i-th
The iteration more new formula of jth the dimension speed and position of a particle are as follows:
Wherein, ω is inertia weight, previous for measuring
The influence mobile to next time of the speed at moment, c1And c2For Studying factors, r1And r2For the random number in [0,1].
4. a kind of radio network functions method of combination of the virtualization based on economic benefit as described in claim 1, feature
It is, the step S3 includes the following steps,
S301: the inertia weight ω of dynamic regulation traditional PS O algorithm, when particle position is close to individual history optimal location or whole
Convergent resolution ratio is improved when a population history optimal location and reduces the flying speed of particle, when particle position is far from individual
Accelerate convergence rate when history optimal location or the history optimal location of entire population and improve the flying speed of particle, is used to
Property weights omega is given by:
Wherein, tv1And tv2It is threshold value, c1iAnd c2iFor the Studying factors of i-th, r1iAnd r2iFor the random number of i-th;
S302: the design for the particle that makes a variation, comprising the following steps:
S3021: ifThen determine psiFor the particle that makes a variation, wherein tp is threshold values,
S3022: set variation the smooth moving distance of particle as
Wherein Bd (k) is the smooth moving distance of variation particle in kth generation, and L is the interval number between two particles;
S3023: set the variation equation of particle as
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CN110996334A (en) * | 2019-12-09 | 2020-04-10 | 衡阳师范学院 | Virtualized wireless network function arrangement strategy |
CN111082997A (en) * | 2019-12-30 | 2020-04-28 | 西安电子科技大学 | Network function arrangement method based on service identification in mobile edge computing platform |
CN111510334A (en) * | 2020-04-21 | 2020-08-07 | 中国电子科技集团公司第五十四研究所 | Particle swarm algorithm-based VNF online scheduling method |
CN113904923A (en) * | 2021-09-27 | 2022-01-07 | 重庆电子工程职业学院 | Service function chain joint optimization method based on software defined network |
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