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 PDF

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CN110351145A
CN110351145A CN201910648218.0A CN201910648218A CN110351145A CN 110351145 A CN110351145 A CN 110351145A CN 201910648218 A CN201910648218 A CN 201910648218A CN 110351145 A CN110351145 A CN 110351145A
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particle
resource
virtual functions
cost
network
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CN110351145B (en
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邹赛
许磊
田淋风
肖蕾
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Chongqing College of Electronic Engineering
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • H04L41/142Network analysis or design using statistical or mathematical methods
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14Network analysis or design
    • H04L41/145Network analysis or design involving simulating, designing, planning or modelling of a network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/06Testing, supervising or monitoring using simulated traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/02Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]

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

A kind of radio network functions method of combination of the virtualization based on economic benefit
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 ηdb×ηsp×ηpit×ηit,
Wherein, σb、σp、σitIt is weight coefficient, 0≤σbpit≤ 1, and σbpit=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,kj+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 ηdb×ηsp×ηpit×ηit
Wherein, σb、σp, be weight coefficient, 0≤σbpit≤ 1, and σbpit=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,kj+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 ηdb×ηsp×ηpit×ηit,
Wherein, σb、σp、σitIt is weight coefficient, 0≤σbpit≤ 1, and σbpit=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,kj+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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