CN105592160B - Resource allocation method towards service consumer under a kind of cloud computing environment - Google Patents

Resource allocation method towards service consumer under a kind of cloud computing environment Download PDF

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CN105592160B
CN105592160B CN201511018039.7A CN201511018039A CN105592160B CN 105592160 B CN105592160 B CN 105592160B CN 201511018039 A CN201511018039 A CN 201511018039A CN 105592160 B CN105592160 B CN 105592160B
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resource
contract
resources
cost
reserved
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CN105592160A (en
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刘宁
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Suzhou shenlang Information Technology Co.,Ltd.
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Nanjing Post and Telecommunication University
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
    • 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
    • H04L41/08—Configuration management of networks or network elements
    • 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
    • H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
    • H04L41/508—Network service management, e.g. ensuring proper service fulfilment according to agreements based on type of value added network service under agreement
    • H04L41/5096—Network service management, e.g. ensuring proper service fulfilment according to agreements based on type of value added network service under agreement wherein the managed service relates to distributed or central networked applications
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
    • H04L67/61—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources taking into account QoS or priority requirements

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses the resource allocation methods towards service consumer under a kind of cloud computing environment, this method utilizes application-centered cloud resource distribution frame, using the application operating cost for minimizing cloud service consumer as target, the heuristic cloud resource placement algorithm with polynomial time complexity is designed and Implemented；In the method, the application runing time of cloud service consumer calculates by the hour, per hour to known to the demand of cloud resource；Cloud service consumer can carry out reserved rental to resource based on single contract, more contract modes, can also be rented based on on-demand resource；Cost is relatively low but will cause the wasting of resources for reserved rental resource, and renting resource on demand can be improved resource utilization, but the higher cost consumed；Factor of both considering finds optimal cloud resource allocation plan within reasonable time.

Description

Resource allocation method towards service consumer under a kind of cloud computing environment
Technical field
The present invention relates to the resource allocation methods towards service consumer under a kind of cloud computing environment, belong to cloud computing technology Field.
Background technique
Cloud computing (Cloud Computing) be the development based on distributed computing especially grid computing and generate one The computation model of kind new services accesses a configurable calculating by network in a kind of convenient, on-demand mode and provides Source shared pool (i.e. network, server, memory, application, service).Resource-sharing pond with least administration overhead, it is least with The interaction of service supplier configures rapidly, provides or discharge resource, to meet the diversified demand of service consumer.Cloud computing Advantage be mainly manifested in can promptly reduce hardware cost and promoted computing capability and memory capacity etc., user is with pole Low cost input obtains high calculating quality, and does not have to the expensive hardware device of reinvestment purchase, is frequently maintained With upgrading.
Cloud computing includes three kinds of service modes: software services (Software as a Service, SaaS), platform is Service (Platform as a Service, PaaS) and infrastructure be service (Infrastructure as a Service, IaaS)；IaaS is the basis of higher level service (such as PaaS, SaaS), allows cloud service provider with virtual machine (Virtual Machines, VMs) mode resource is leased into cloud service consumer, and generally use four kinds of service price computation models: Gu Determine cost (Fixed cost), variable cost (Variable cost), mixed cost (Hybrid cost), flexible cost (Flexible cost).Cloud service consumer rents required virtual machine (Virtual in reserved or on-demand mode Machine) example, the price for reserving rental resource is lower, is suitble to the long-term needs of cloud service consumer；Resource is rented on demand Price is higher, is suitble to the short term need of cloud service consumer.If but in order to meet cloud service consumer demand, when reserving resource Between too long or reserved resource excessively can all cause resource use cost to increase and reduce resource utilization, otherwise only with on-demand side Formula also results in higher cost using resource.In face of the cloud service calculation of price model of multiplicity, how from cloud service consumer From the point of view of resource allocation policy, be a urgent problem to be solved to reduce the cost of cloud service consumer.
Currently, a variety of cloud service calculation of price models are considered, to reduce cloud service consumer cost as the resource of target point It is all that problem is modeled as to integer programming model (Integer Programming Model) to solve with strategy, All there is nondeterministic polynomial (Non-Deterministic Polynomial, NP) problem in matter.It is being applied to that there are big rule Such method time complexity with higher in the scene of mould example, applied to current cloud computing platform in the limited time It is interior to give the feasible solution to go wrong, it is difficult to meet actual user demand.And the present invention can well solve asking above Topic.
Summary of the invention
Goal of the invention is to provide the resource point of service-oriented consumer a kind of for the deficiencies in the prior art Method of completing the square, this method utilizes application-centered cloud computing resources distribution frame, from the angular distribution of IaaS service consumer Resource, to minimize the QoS that the cost of cloud service consumer fast and effeciently guarantees user.
The technical scheme adopted by the invention to solve the technical problem is that: towards service consumer under a kind of cloud computing environment Resource allocation method, this method comprises the following steps: first according to the submission time of operation and waiting time, generation need to point The resources requirement matched establishes cloud computing resources and reserves model, rent for resource to minimize Resource consumers cost as target Each contract concentrated with contract designs single contract resource reservation algorithm, and calculating is to meet resource need on each contract The stock number and corresponding minimum cost reserved needed for the amount of asking；Secondly consider contract number situation incremented by successively, design close more About resource reservation algorithm calculates the resource scheme and right reserved needed for closing in each contract group to meet resources requirement The minimum cost answered；Finally based on single contract resource reservation algorithm and more contract resource reservation algorithms obtain as a result, finding out tool There are the best resource reservation schemes of minimum cost.
Method flow:
Step 1: according to the submission time of operation and waiting time, generating needs resources requirement to be allocated；
Step 2: to minimize Resource consumers cost as target, establishing cloud computing resources and reserve model；
Step 3: renting each contract that contract is concentrated for resource, design single contract resource reservation algorithm, calculate Meet stock number and corresponding minimum cost reserved needed for resources requirement on each contract；
Step 4: considering contract number situation incremented by successively, design more contract resource reservation algorithms, calculate in each conjunction About group close to meet resources requirement needed for reserve resource scheme and corresponding minimum cost；
Step 5: based on single contract resource reservation policy and more contract resource reservation policies obtain as a result, finding out has most The best resource reservation schemes of small cost.
Above-mentioned steps 1 of the present invention include: the resources requirement D=(D1,D2,...,DT) it is one comprising section can be used For the resource requirement vector of T hour, demand can indicate that operation is needed in some period using resource with section；
The i-th hour resources requirement D in available sectioniIt is that all operations that cloud platform receives are small at i-th When to the summation of resource request quantity；
The mode of job request resource is divided into reserved resource of renting and mentions with rental resource, cloud platform on demand for Resource consumers It is rented for the different types of resource of K kind and about k, the validity period of every kind of contract is tk。
Above-mentioned steps 2 of the present invention include: that the Resource consumers cost is all t (1≤t≤T) hour cost Costt Summation, each CosttThe reserved rental resources costs reserved of all kinds of and about k (1≤k≤K) as used in t hourstWith Resources costs ondemand is rented on demandtIt forms, wherein reservedtIt is the disposable reserved resources costs R of all kinds of contractskWith Resource use cost r under all kinds of contractskSummation, ondemandtBe use as needed per hour example cost o with using the time, make With the product of instance number；
The reserved reserved number of resources renting number of resources, using, on demand rental number of resources are all the integer more than or equal to zero；
The reserved number of resources used for t hours should be less than stock number reserved before being equal to t hours；
The reserved number of resources and the on-demand summation for renting number of resources that use within t hours should be greater than the resource equal to t hours Demand number.
Single contract resource reservation algorithm of above-mentioned steps 3 of the present invention includes:
Step 3-1: based on contract period t use and about kk, it is by resource requirement section T pointsA resource requirement Segment, wherein most startThe length of a resource requirement segment is tk, the length of the last one resource requirement segment Degree is
Step 3-2: small j-th of resources requirement is found out in each resource requirement segment as current resource demand The amount of resources reserved of segment, wherein
More contract resource reservation algorithms of above-mentioned steps 4 of the present invention include:
Step 4-1: judge whether contract collection is sky, is terminated if contract collection is sky；If contract collection non-empty, pairing are about concentrated And about k, single contract resource reservation is carried out to resource requirement vector using step 3, calculate and about k corresponding to resource reservation side Case and resources consumption cost；
Step 4-2: it is concentrated in contract and removes applied and about k, and according to the more new resources of the resource reservation schemes with about k Requirement vector D obtains new resource requirement vector Dnew；
Step 4-3: based on new contract collection, step 41 is executed, new resource requirement vector is operated.
Above-mentioned steps 5 of the present invention include: disappear corresponding with all resource reservation schemes that step 4 obtains to above-mentioned steps 3 It is costly to be ranked up, find out the solution with resource reservation schemes corresponding to minimum cost as problem.
The utility model has the advantages that
1, the present invention meets the heuristic of resource reservation characteristic by design, realizes cloud computing resources distribution, has The use cost for reducing to effect Resource consumers, improves allocation efficiency of resource.
2, by calculating all contracts combination for renting contract concentration, trading-off resources is reserved to be rented and provides the present invention Source rent on demand between cost, selection can satisfy resources requirement and with minimum cost resource reservation schemes, more The global search to solution space is completed in the item formula time, enhances the availability of cloud computing platform.
Detailed description of the invention
Fig. 1 is cloud computing resources distribution structure figure of the present invention.
Fig. 2 is cloud computing resources distribution method flow chart of the present invention.
Fig. 3 is the single contract resource reservation flow chart of the present invention.
Fig. 4 is the more contract resource reservation flow charts of the present invention.
Specific embodiment
The invention is described in further detail with reference to the accompanying drawings of the specification.
As shown in Figure 1, cloud computing resources distribution structure of the present invention include resource requirement vector 11, cloud computing resource pool 12, Rent contract type and attribute 13.Assume in this example that resource requirement vector D={ D1,D2,...,Dj,Dj+1,...,DTInclude The resource requirement of continuous T hour, wherein Di(1≤i≤T) indicates i-th hour resources requirement.Cloud platform disappears to resource The person of expense provides two kinds of rental contracts (1-month contract, 3-month contract), each rents the reserved of contract Resources costs, using reserved resources costs, on demand rent reserved resources costs as shown in figure 1 shown in table.
Fig. 2 is flow chart of the method for the present invention, and in order to meet resource requirement D with minimum cost, cloud platform is primarily based on rent Single contract resource reservation (s201) is carried out with contract collection, contract combination is then based on and carries out more contract resource reservation (s202), The reservation schemes (s203) of cost minimization are found out in all reservation schemes.
Fig. 3 is single contract resource reservation flow chart of the embodiment of the present invention, as shown in the figure, for resource requirement vector D ={ D1,D2,...,Dj,Dj+1,...,DTSingle contract resource reservation is first carried out, steps are as follows:
Step s301: judging whether there is untreated segment in demand segment, if without segment, method knot Beam；If there is segment, s302 is gone to step.
Step s302: respectively according to the contract validity period of 1-month contract and 3-month contract by resource The demand section T of requirement vector is divided into multiple demand segments, and 1-monthcontract demand section T is divided into | T/720 | a segment, except the last one section, segment length isOutside hour, rest interval segment length is all It is 720 hours；3-monthcontract demand section T is divided into | T/2160 | a segment removes the last one section Segment length isOutside hour, rest interval segment length is all 2160 hours.
Step s303: 1-month contract is divided obtained | T/720 | a segment, in each segment It is middle to search theA small resources requirementFor 3-month Contract divides obtained | T/2160 | a segment searches the in each segmentA small resources requirement
Step s304: it is based on amount of resources reserved under the contract of 1-month contract(It is in step 1-month contract amount of resources reserved obtained in rapid s203) calculate cost used in meet demand resource vector D；? It is based on resource reservation under the contract of 3-month contract(It is the 3- obtained in step s203 Month contract amount of resources reserved) calculate cost used in meet demand resource vector D；Go to step s201.
Fig. 4 is more contract resource reservation flow charts of the embodiment of the present invention, as shown in the figure, for resource requirement vector D ={ D1,D2,...,Dj,Dj+1,...,DTHave the contract combined resource of more contracts reserved, steps are as follows:
Step s401: judge whether contract collection is empty, if contract concentrates no contract, method terminates；If contract collection In have contract, go to step s402.
Step s402: resource is needed based on 1-month contract and 3-month the contract contract that contract is concentrated Seek vector D={ D1,D2,...,Dj,Dj+1,...,DTSingle contract resource reservation is done, respectively obtain 1-month contract institute The stock number that need to be reserved(whereinIt indicates i-th under 1-month contract The amount of resources reserved of a segment) and cost Cost1-month(use 1-month contract reserve resource totle drilling cost) and The stock number reserved needed for 3-month contractWhereinIndicate 3- The amount of resources reserved of i-th of segment under month contract) and cost Cost3-month(use 3-month contract The totle drilling cost of reserved resource)；If minimum cost mCost is Cost1-month, then 1-month contract is deleted in contract concentration It removes, record amount of resources reserved RX is RX1-month(resource reservation schemes of 1-month contract)；If minimum cost mCost For Cost3-month, then 3-month contract is concentrated in contract and is deleted, record amount of resources reserved RX is RX3-month(3- The resource reservation schemes of month contract).
Step s403: resource requirement vector D is updated based on amount of resources reserved RX.
Step s404: it is calculated based on this contract amount of resources reserved RX and rents cost spent by this contract, and to result set And resource reservation schemes and corresponding cost are recorded, go to step s401.
The obtained all resource reservation schemes of resource reservation process based on Fig. 3 and Fig. 4, selection wherein have it is minimum at Solution of this scheme as problem.
Above-described embodiment is only illustrative of the invention and is not intended to limit the scope of the invention, and is reading the present invention's Afterwards, it is as defined in the appended claims to fall within the present invention to the modification of various equivalent forms of the invention by those skilled in the art Range.

Claims (1)

1. towards the resource allocation method of service consumer under a kind of cloud computing environment, which is characterized in that the method includes such as Lower step:
Step 1: according to the submission time of operation and waiting time, generating needs resources requirement to be allocated, comprising:
Resources requirement D=(the D1, D2..., DT) it is a resource requirement vector comprising available section for T hour, Demand can indicate that operation is needed in some period using resource with section；The resource requirement in i-th hour in available section Measure DiIt is all operations for receiving of cloud platform in the i-th hour summation to resource request quantity；
The mode of job request resource is divided into reserved rental resource and rents resource on demand, and cloud platform provides K for Resource consumers The different types of resource of kind is rented and about k, and the validity period of every kind of contract is tk；
Step 2: to minimize Resource consumers cost as target, establishing cloud computing resources and reserve model, comprising:
The Resource consumers cost is all t hour cost CosttSummation, 1≤t≤T, each CosttBy t hours institutes All kinds of and about k the reserved rental resources costs reserved usedtResources costs ondemand is rented with on-demandtComposition, 1≤k ≤ K, wherein reservedtIt is the disposable reserved resources costs R of all kinds of contractskWith resource use cost r under all kinds of contractsk's Summation, ondemandtIt is to use example cost o as needed per hour and use time, the product using instance number；
The reserved reserved number of resources renting number of resources, using, on demand rental number of resources are all the integer more than or equal to zero；
The reserved number of resources used for t hours should be less than stock number reserved before being equal to t hours；
The reserved number of resources and the on-demand summation for renting number of resources that use within t hours should be greater than the resource requirement equal to t hours Number；
Step 3: renting each contract that contract is concentrated for resource, design single contract resource reservation algorithm, calculate each It is to meet the stock number and corresponding minimum cost reserved needed for resources requirement on kind contract, comprising:
Step 3-1: based on contract period t use and about kk, it is by resource requirement section T pointsA resource requirement section Section,It indicates to T divided by tkObtained result rounds up, wherein most startThe length of a resource requirement segment Degree is tk,It indicates to T divided by tkObtained result is rounded downwards, and the length of the last one resource requirement segment is
Step 3-2: small j-th of resources requirement is found out in each resource requirement segment as current resource demand section The amount of resources reserved of section, wherein
Step 4: designing more contract resource reservation algorithms, calculating is pre- needed for closing in each contract group to meet resources requirement The resource scheme stayed and corresponding minimum cost, more contract resource reservation algorithms include:
Step 4-1: judge whether contract collection is sky, is terminated if contract collection is sky；If contract collection non-empty, the conjunction that pairing is about concentrated About k carries out single contract resource reservation to resource requirement vector using step 3, calculate and about k corresponding to resource reservation schemes with Resources consumption cost；
Step 4-2: concentrating in contract and remove applied and about k, and updates resource requirement according to the resource reservation schemes with about k Vector D obtains new resource requirement vector Dnew；
Step 4-3: based on new contract collection, step 41 is executed, new resource requirement vector is operated；
Step 5: by based on single contract resource reservation algorithm and more contract resource reservation algorithms obtain as a result, finding out has most The best resource reservation schemes of small cost, it is corresponding with all resource reservation schemes that step 4 obtains to above-mentioned steps 3 consumption at Originally it is ranked up, finds out the solution with resource reservation schemes corresponding to minimum cost as problem.
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CN110138612B (en) * 2019-05-15 2020-09-01 福州大学 Cloud software service resource allocation method based on QoS model self-correction
CN113315642B (en) * 2020-07-27 2023-03-24 阿里巴巴集团控股有限公司 Resource metering processing method and device and cloud service system
CN112764918B (en) * 2020-12-29 2022-02-18 赛韵网络科技(上海)有限公司 Working method for carrying out space search on available area by cloud platform

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