CN104507166A - Method for sharing virtual resource configuration in baseband pooling - Google Patents

Abstract

The invention discloses a method for sharing virtual resource configuration in a baseband pooling, and relates to the technical field of communication. The method comprises the following steps that A, relevant variables are set according to wireless communication protocol standards supported in the baseband pooling, resource requirements of each kind of standard and relevant virtual machines; B, according to the relevant variables, under the constraint condition of Poisson distribution with the user request total number obeying parameter being Lambda under each kind of protocol standard, a mathematical expression is defined, and a mathematical model is built; C, the mathematical model is solved, and a sharing resource optimization configuration scheme under different user service quantities is obtained. Through the method for determining the proportion of the sharing resources in the baseband pooling in the total resources, a mixed management model is built. The resource benefits of the whole resource pooling can be effectively improved through the mixed management module built in the method, and a higher resource utilization rate is ensured.

Description

Virtual resource collocation method is shared in a kind of baseband pool

Technical field

The present invention relates to communication technical field, specifically relate in a kind of baseband pool and share virtual resource collocation method.

Background technology

Along with the development of the communication technology, multimedia technology and interconnection technique, people require more and more higher to communication quality and communication form, traditional network architecture can not meet growing electronics and the growth requirement of the Internet gradually, and traditional network architecture Problems existing becomes increasingly conspicuous.First, the base station of enormous amount means that the construction investment of great number, site are supporting, site lease and maintenance cost, builds more base station and means more capital expenditure and operation expenses.Secondly, tidal effect causes existing base station utilance low, and the average load of network is significantly less than busy hour load usually, and can not shared processing ability, also very difficult raising spectrum efficiency between different base stations.Finally, the proprietary mobile operator of requirement of platform need safeguard multiple incompatible platform, the cost of dilatation or upgrading is higher.

In order to solve the problem, China Mobile proposes a kind of new network framework-C-RAN, C-RAN is based on centralization process, the green wireless access network framework of collaboration type radio and real-time cloud computing framework, and its essence is by realizing reducing base station machine room quantity, reduce energy consumption, adopt Collaborative, Intel Virtualization Technology, realize resource-sharing and dynamic dispatching, improve spectrum efficiency, to reach low cost, the operation of high bandwidth and flexibility ratio.Its advantage is mainly reflected in the following aspects: 1, reduce network energy consumption; 2, operator's Capital expenditure and O&M cost is reduced; 3, load balancing and interference coordination.

Existing centralized resources allocation models is mainly divided into two kinds: complete fixing administrative model and full dynamic management model.The reaction time of complete fixing management model treatment user request is short, but this model resource utilization is lower for random user request, although full dynamic management model can utilize all kinds of resources in baseband pool efficiently, but dynamic-configuration virtual machine needs to configure time delay in a large number, the service quality of baseband pool must be affected and increase every expense of resource management for real-time wireless communication.

Summary of the invention

The object of the invention is the deficiency in order to overcome above-mentioned background technology, there is provided in a kind of baseband pool and share virtual resource collocation method, by determining that in baseband pool, shared resource accounts for the method for the ratio of total resources, set up mixed management model, the mixed management model set up by the present invention effectively can improve the resource resources profit of whole resource pool, ensures higher resource utilization.

The invention provides in a kind of baseband pool and share virtual resource collocation method, comprise the following steps:

A, correlated variables is set according to the resource requirement of the wireless communication protocol standards supported in baseband pool, each class standard and associated virtual machine configuration;

B, according to correlated variables, the user under all types of consensus standard ask sum obey parameter be under the constraints of the Poisson distribution of λ, definition mathematic(al) representation, founding mathematical models;

C, solve Mathematical Modeling, obtain the shared resource configuration scheme under different user traffic carrying capacity.

On the basis of technique scheme, correlated variables described in steps A processes user's request task needs virtual resource total amount under comprising w consensus standard is R ^w(RC ^w, RM ^w), wherein RC ^wfor processing the computational resource total amount that user resources need under w consensus standard, RM ^wfor processing the memory source total amount that user resources need under w consensus standard, all total resources R in whole baseband pool _all, defined formula is as follows:

$R_{\mathrm{all}}=\mathrm{num}\·\underset{w=1}{\overset{K}{\mathrm{\Σ}}}{R}^w,$

Shared resource total amount RS in baseband pool _all, defined formula is as follows:

RS _all＝γ·R _all，

Unique user request income unit price p=[p is served under fixing sub-clustering under often kind of consensus standard ₁, p ₂..., p _k], the income unit price p ' of shared resource dynamic-configuration virtual resource service unique user request=[p ' ₁, p ' ₂..., p ' _k], wherein p _i=δ R ⁱfor serving the income of user's request of single consensus standard i under fixing sub-clustering, p ' _i=ε _ip _ifor the income that the user of the single consensus standard i of shared resource partial service asks, δ is the usufruct repeated factor of fixed resource, ε _ifor the usufruct repeated factor of shared resource, under all types consensus standard, the usufruct repeated factor vector of shared resource is ε=[ε ₁, ε ₂..., ε _k].

On the basis of technique scheme, the usufruct repeated factor δ ∈ [0.005,0.01] of described fixed resource.

On the basis of technique scheme, usufruct repeated factor ε ± 5% of described shared resource.

On the basis of technique scheme, it is J that mathematic(al) representation described in step B is included in total revenue average in whole baseband pool of N number of moment, and defined formula is as follows:

$J=\frac{1}{N}\underset{n=1}{\overset{N}{\mathrm{\Σ}}}\underset{i=1}{\overset{K}{\mathrm{\Σ}}}({\mathrm{\α}}_{i,n}\·p_i+{\mathrm{\β}}_{i,n}\·p_i^{\′}),$

Wherein ${\mathrm{\α}}_{i,n}=\left\{\begin{array}{c}{k}_{i,n},k_{i,n}\≤\mathrm{\θ}\\ \mathrm{\θ},k_{i,n}>\mathrm{\θ}\end{array}\right.$ For fixing sub-clustering service users request number, k under n moment i-th consensus standard _i,nfor needing service users request number under n moment i-th consensus standard, θ=(1-γ) num is that fixed resource part can service-user number at most, for under the n-th moment i-th consensus standard, shared resource partial service user asks number, for shared resource user can ask number under service agreement standard i at most, ${\mathrm{\η}}_{i,n}=\left\{\begin{array}{c}0,i=1\\ \underset{j=2}{\overset{i}{\mathrm{\Σ}}}{\mathrm{\β}}_{j,n}\·R^j,i\≠1\end{array}\right.$ For the stock number that current n moment shared resource has used.

On the basis of technique scheme, in step B, founding mathematical models should be noted that following constraints: namely within a period of time, user's number of request sum of all consensus standards obeys parameter is the Poisson distribution of λ:

${\mathrm{\ψ}}_n=\underset{i=1}{\overset{K}{\mathrm{\Σ}}}{k}_{i,n}~P\left(\mathrm{\λ}\right),$

Wherein _kfor the consensus standard sum supported in baseband pool, k _i,nunder n moment consensus standard i, need service users request number, P (λ) parameter is the Poisson distribution of λ, and be the Mathematical Modeling of the shared resource configuration of target to the maximum with system benefit, fixed pattern formula is as follows:

$\mathrm{\γ}=\arg \underset{\mathrm{\γ}}{\max }J=\frac{1}{N}\underset{n=1}{\overset{N}{\mathrm{\Σ}}}\underset{i=1}{\overset{K}{\mathrm{\Σ}}}({\mathrm{\α}}_{i,n}\·p_i+{\mathrm{\β}}_{i,n}\·p_i^{\′})$

${s.t.\mathrm{\ψ}}_n=\underset{i=1}{\overset{K}{\mathrm{\Σ}}}{k}_{i,n}~P\left(\mathrm{\λ}\right).$

Compared with prior art, advantage of the present invention is as follows:

The present invention is by determining that in baseband pool, shared resource accounts for the method for the ratio of total resources, sets up mixed management model, and the mixed management model set up by the present invention effectively can improve the resource resources profit of whole resource pool, ensures higher resource utilization.

Accompanying drawing explanation

Fig. 1 is the flow chart sharing virtual resource collocation method in the baseband pool in the embodiment of the present invention.

Fig. 2 is the average yield variation diagram that in different total load situation, in baseband pool, all tasks of service obtain.

Fig. 3 is the average yield comparison diagrams of three kinds of baseband pool resource distribution models under different user request loading condition.

Fig. 4 is the change comparison diagram that under three kinds of baseband pool resource distribution models, user's communication request blocking probability asks average arrival rate λ with total user.

Fig. 5 is that under three kinds of baseband pool resource distribution models, the average running income of system changes comparison diagram with threshold values.

Embodiment

Below in conjunction with drawings and the specific embodiments, the present invention is described in further detail.

Shown in Figure 1, the embodiment of the present invention provides in a kind of baseband pool shares virtual resource collocation method, comprises the following steps:

S1, correlated variables is set according to the resource requirement of the wireless communication protocol standards supported in baseband pool, each class standard and associated virtual machine configuration.

Correlated variables processes user's request task needs virtual resource total amount under comprising w consensus standard is R ^w(RC ^w, RM ^w), wherein RC ^wfor processing the computational resource total amount that user resources need under w consensus standard, RM ^wfor processing the memory source total amount that user resources need under w consensus standard, all total resources R in whole baseband pool _all, defined formula is as follows:

$R_{\mathrm{all}}=\mathrm{num}\·\underset{w=1}{\overset{K}{\mathrm{\Σ}}}{R}^w,$

Shared resource total amount RS in baseband pool _all, defined formula is as follows:

RS _all＝γ·R _all，

Unique user request income unit price p=[p is served under fixing sub-clustering under often kind of consensus standard ₁, p ₂..., p _k], the income unit price p ' of shared resource dynamic-configuration virtual resource service unique user request=[p ' ₁, p ' ₂..., p ' _k], wherein p _i=δ R ⁱfor serving the income of user's request of single consensus standard i under fixing sub-clustering, p ' _i=ε _ip _ifor the income that the user of the single consensus standard i of shared resource partial service asks, δ is the usufruct repeated factor of fixed resource, ε _iby the usufruct repeated factor (its value is inversely proportional to consuming time the prolonging of configuration respective type resource) of shared resource, under all types consensus standard, the usufruct repeated factor vector of shared resource is ε=[ε ₁, ε ₂..., ε _k], and its value has certain fluctuation ε ± 5%, usual δ ∈ [0.005,0.01], and because fixed resource unit price and shared resource unit price are all proportional to δ, therefore the change of δ value only can affect the value of final average total revenue and can not affect the optimal value of γ.

S2, according to correlated variables, the user under all types of consensus standard ask sum obey parameter be under the constraints of the Poisson distribution of λ, definition mathematic(al) representation, founding mathematical models.

It is J that mathematic(al) representation is included in total revenue average in whole baseband pool of N number of moment, and fixed pattern formula is as follows:

$J=\frac{1}{N}\underset{n=1}{\overset{N}{\mathrm{\Σ}}}\underset{i=1}{\overset{K}{\mathrm{\Σ}}}({\mathrm{\α}}_{i,n}\·p_i+{\mathrm{\β}}_{i,n}\·p_i^{\′}),$

Wherein ${\mathrm{\α}}_{i,n}=\left\{\begin{array}{c}{k}_{i,n},k_{i,n}\≤\mathrm{\θ}\\ \mathrm{\θ},k_{i,n}>\mathrm{\θ}\end{array}\right.$ For fixing sub-clustering service users request number, k under n moment i-th consensus standard _i,nfor needing service users request number under n moment i-th consensus standard, θ=(1-γ) num is that fixed resource part can service-user number at most, for under the n-th moment i-th consensus standard, shared resource partial service user asks number, for shared resource user can ask number under service agreement standard i at most, ${\mathrm{\η}}_{i,n}=\left\{\begin{array}{c}0,i=1\\ \underset{j=2}{\overset{i}{\mathrm{\Σ}}}{\mathrm{\β}}_{j,n}\·R^j,i\≠1\end{array}\right.$ For the stock number that current n moment shared resource has used.

Founding mathematical models should be noted that following constraints: namely within a period of time, user's number of request sum of all consensus standards obeys parameter is the Poisson distribution of λ:

${\mathrm{\ψ}}_n=\underset{i=1}{\overset{K}{\mathrm{\Σ}}}{k}_{i,n}~P\left(\mathrm{\λ}\right),$

Wherein _kfor the consensus standard sum supported in baseband pool, k _i,nunder n moment consensus standard i, need service users request number, P (λ) parameter is the Poisson distribution of λ.Be the Mathematical Modeling of the shared resource configuration of target to the maximum with system benefit, fixed pattern formula is as follows:

$\mathrm{\γ}=\arg \underset{\mathrm{\γ}}{\max }J=\frac{1}{N}\underset{n=1}{\overset{N}{\mathrm{\Σ}}}\underset{i=1}{\overset{K}{\mathrm{\Σ}}}({\mathrm{\α}}_{i,n}\·p_i+{\mathrm{\β}}_{i,n}\·p_i^{\′})$

${s.t.\mathrm{\ψ}}_n=\underset{i=1}{\overset{K}{\mathrm{\Σ}}}{k}_{i,n}~P\left(\mathrm{\λ}\right)$

S3, solve Mathematical Modeling, obtain the shared resource configuration scheme under different user traffic carrying capacity.

Below by way of experiment simulation, the present invention is described in detail.

Simulation parameter is arranged:

Compatible protocol standard sum K=5 in baseband pool, in baseband pool, resource can serve at most the number of users num=100 under any consensus standard, for determining the shared resource capacity of resource the best in baseband pool, get δ=0.008 in this emulation experiment, under each consensus standard, shared resource usufruct repeated factor is to measuring other relevant parameters are as shown in the table:

Table 1 processes the amount of computational resources and memory source amount that unique user needs under providing each consensus standard that emulation experiment uses;

Table 2 provides the resource unit price of baseband pool internal fixtion sub-clustering resource and the unit price of shared resource.

The stock number that under each consensus standard of table 1, unique user request needs

The income of unique user is served under each consensus standard of table 2

Fig. 2 provides the average yield variation diagram that in baseband pool, all tasks of service obtain in different total load situations, as shown in Figure 2, shared resource allocation ratio optimum under different loads is different, and along with the increase of load, in baseband pool, configuration shared resource ratio is in change.

Fig. 3 provides the average yield comparison diagram of three kinds of baseband pool resource distribution models under different user request loading condition, and three kinds of baseband pool resource distribution models are respectively the mixed management model of complete fixing administrative model, full dynamic management model and the present invention's foundation.As shown in Figure 3, when load is lower, complete fixing administrative model enough when, do not need to shared resource pond application resource, therefore administrative model is entirely fixed and mixed management model average yield is more or less the same, full dynamic management model then needs for each user's request dynamic configuration virtual resource, and expense is comparatively large so income is also minimum.When user asks load capacity to increase to more than 350, the inadequate active user of resource in complete fixing administrative model under some consensus standard uses, and idle resource can not be shared each other, the income causing system total no longer changes, and mixed management model can call resource in shared resource pond, take full advantage of resource idle under other consensus standards under complete fixing administrative model, therefore income is larger.And full dynamic management model also increases along with its income of increase of user load, but make income still lower than complete fixing administrative model and mixed management model due to the expense of full dynamic-configuration.When user load amount is excessive (being greater than 1050), the average yield of full dynamic management model and mixed management model is close, because load capacity is excessive, System Priority makes for obtaining maximum return by the user that priority is high, namely all resources turn to shared by mixed management model, and therefore the impact that complete fixing administrative model is subject to initial configuration finally tends towards stability to later stage income is limited.

Fig. 4 provides user's communication request blocking probability under three kinds of baseband pool resource distribution models asks average arrival rate λ change comparison diagram with total user, as shown in Figure 4, load capacity less as λ≤200 time, under three kinds of models, user's communication request can both be served, along with the increase of λ, first complete fixing administrative model occurs that user's communication request gets clogged, because each consensus standard Resources allocation is fixed under complete fixing administrative model, when under certain consensus standard, user's request exceeds maximum service number, certain customers' call cannot obtain corresponding resource, and a part of shared resource reserved under mixed management model can for exceeding user's service, therefore occur under mixed management model that user's communication blocks and lag behind complete fixing administrative model.And for full dynamic management model, its resource shares to all users, shared resource total amount is greater than mixed management model, therefore occurs under full dynamic management model that user blocks and lags behind complete fixing administrative model and mixed management model.When user load becomes large, mixed management model, in order to serve more users to obtain maximum return, more will put shared resource pond under, when user load reaches certain threshold value by multiple resource, in mixed management model, all resources are set to share, end user's congestion situations with complete share consistent.

Under Fig. 5 gives three kinds of baseband pool resource distribution models, the average running income of system changes comparison diagram with threshold values, as shown in Figure 5, along with system thresholds changes in 5% ~ 20% scope, when mixed management model reaches threshold value at user's communication blocking rate, under more full dynamic management model and complete fixing administrative model, larger running income can both be obtained.

Those skilled in the art can carry out various modifications and variations to the embodiment of the present invention, if these amendments and modification are within the scope of the claims in the present invention and equivalent technologies thereof, then these revise and modification also within protection scope of the present invention.

The prior art that the content do not described in detail in specification is known to the skilled person.

Claims (6)

1. share a virtual resource collocation method in baseband pool, it is characterized in that comprising the following steps:

A, correlated variables is set according to the resource requirement of the wireless communication protocol standards supported in baseband pool, each class standard and associated virtual machine configuration;

B, according to correlated variables, the user under all types of consensus standard ask sum obey parameter be under the constraints of the Poisson distribution of λ, definition mathematic(al) representation, founding mathematical models;

C, solve Mathematical Modeling, obtain the shared resource configuration scheme under different user traffic carrying capacity.

2. share virtual resource collocation method in baseband pool as claimed in claim 1, it is characterized in that: correlated variables described in steps A processes user's request task needs virtual resource total amount under comprising w consensus standard is R ^w(RC ^w, RM ^w), wherein RC ^wfor processing the computational resource total amount that user resources need under w consensus standard, RM ^wfor processing the memory source total amount that user resources need under w consensus standard, all total resources R in whole baseband pool _all, defined formula is as follows:

$R_{\mathrm{all}}=\mathrm{num}\·\underset{w=1}{\overset{K}{\mathrm{\Σ}}}{R}^w,$

Shared resource total amount RS in baseband pool _all, defined formula is as follows:

RS _all＝γ·R _all，

Unique user request income unit price p=[p is served under fixing sub-clustering under often kind of consensus standard ₁, p ₂..., p _k], the income unit price p ' of shared resource dynamic-configuration virtual resource service unique user request=[p ' ₁, p ' ₂..., p ' _k], wherein p _i=δ R ⁱfor serving the income of user's request of single consensus standard i under fixing sub-clustering, p ' _i=ε _ip _ifor the income that the user of the single consensus standard i of shared resource partial service asks, δ is the usufruct repeated factor of fixed resource, ε _ifor the usufruct repeated factor of shared resource, under all types consensus standard, the usufruct repeated factor vector of shared resource is ε=[ε ₁, ε ₂..., ε _k].

3. share virtual resource collocation method in baseband pool as claimed in claim 2, it is characterized in that: the usufruct repeated factor δ ∈ [0.005,0.01] of described fixed resource.

4. share virtual resource collocation method in baseband pool as claimed in claim 2, it is characterized in that: usufruct repeated factor ε ± 5% of described shared resource.

5. share virtual resource collocation method in baseband pool as claimed in claim 1, it is characterized in that: it is J that mathematic(al) representation described in step B is included in total revenue average in whole baseband pool of N number of moment, and defined formula is as follows:

$J=\frac{1}{N}\underset{n=1}{\overset{N}{\mathrm{\Σ}}}\underset{i=1}{\overset{K}{\mathrm{\Σ}}}({\mathrm{\α}}_{i,n}\·p_i+{\mathrm{\β}}_{i,n}\·p_i^{\′}),$

Wherein ${\mathrm{\α}}_{i,n}=\left\{\begin{array}{c}{k}_{i,n},k_{i,n}\≤\mathrm{\θ}\\ \mathrm{\θ},k_{i,n}>\mathrm{\θ}\end{array}\right.$ For fixing sub-clustering service users request number, k under n moment i-th consensus standard _i,nfor needing service users request number under n moment i-th consensus standard, θ=(1-γ) num is that fixed resource part can service-user number at most, for under the n-th moment i-th consensus standard, shared resource partial service user asks number, for shared resource user can ask number under service agreement standard i at most, ${\mathrm{\η}}_{i,n}=\left\{\begin{array}{c}0,i=1\\ \underset{j=2}{\overset{i}{\mathrm{\Σ}}}{\mathrm{\β}}_{j,n}\·R^j,i\≠1\end{array}\right.$ For the stock number that current n moment shared resource has used.

6. share virtual resource collocation method in the baseband pool as described in any one of claim 1 to 5, it is characterized in that: in step B, founding mathematical models should be noted that following constraints: namely user's number of request sum of all consensus standards obeys parameter within a period of time is the Poisson distribution of λ:

${\mathrm{\ψ}}_n=\underset{i=1}{\overset{K}{\mathrm{\Σ}}}{k}_{i,n}~P\left(\mathrm{\λ}\right),$

Wherein K is the consensus standard sum supported in baseband pool, k _i,nunder n moment consensus standard i, need service users request number, P (λ) parameter is the Poisson distribution of λ, and be the Mathematical Modeling of the shared resource configuration of target to the maximum with system benefit, fixed pattern formula is as follows:

$\mathrm{\γ}=\arg \underset{\mathrm{\γ}}{\max }J=\frac{1}{N}\underset{n=1}{\overset{N}{\mathrm{\Σ}}}\underset{i=1}{\overset{K}{\mathrm{\Σ}}}({\mathrm{\α}}_{i,n}\·p_i+{\mathrm{\β}}_{i,n}\·p_i^{\′})$

$s.t.{\mathrm{\ψ}}_n=\underset{i=1}{\overset{K}{\mathrm{\Σ}}}{k}_{i,n}~P\left(\mathrm{\λ}\right).$