CN105592160A - Service-consumer-oriented resource configuration method in cloud computing environment - Google Patents
Service-consumer-oriented resource configuration method in cloud computing environment Download PDFInfo
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- CN105592160A CN105592160A CN201511018039.7A CN201511018039A CN105592160A CN 105592160 A CN105592160 A CN 105592160A CN 201511018039 A CN201511018039 A CN 201511018039A CN 105592160 A CN105592160 A CN 105592160A
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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
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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
- H04L41/08—Configuration management of networks or network elements
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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
- H04L41/50—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
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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
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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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
- 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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Abstract
The invention discloses a service-consumer-oriented resource configuration method in a cloud computing environment. According to the method, a cloud resource allocation framework centering on application is employed, the minimization of the application operation cost for cloud service consumers is regarded as the goal, and a heuristic cloud resource configuration algorithm with polynomial time complexity is designed and realized; in the method, the application operation time of the cloud service consumers is calculated by hours, and the demand quantity of cloud resources in each hour is known; the cloud service consumers can reserve and rent the resources based on a single-contract manner or a multi-contract manner, and the resources can also be rented based on the requirement; the cost for reservation and renting of the resources is low but resource waste is caused, the resource utilization rate can be increased by renting the resources according to the requirement, but the consumed cost is high; and considering two factors, the optimal cloud resource configuration scheme is found out in a reasonable time.
Description
Technical field
The present invention relates to the resource allocation method towards service consumer under a kind of cloud computing environment, belong to cloud computing technologyField.
Background technology
Cloud computing (CloudComputing) be based on Distributed Calculation particularly grid computing development and produce onePlant the computation model of new services, it accesses a configurable calculating money by network in a kind of mode easily, as requiredSource shared pool (being network, server, memory, application, service). Resource-sharing pond with minimum administration overhead, minimum withService supplier's is mutual, configures rapidly, provides or releasing resource, to meet the diversified demand of service consumer. Cloud computingAdvantage be mainly manifested in and can promptly reduce hardware cost and promote computing capability and memory capacity etc., user is with the utmost pointLow cost drops into, and obtains high calculating quality, buys expensive hardware device and need not reinvest, and maintains frequentlyWith upgrading.
Cloud computing comprises three kinds of service modes: software serve (SoftwareasaService, SaaS), platformService (PlatformasaService, PaaS) and infrastructure serve (InfrastructureasaService,IaaS); IaaS is the basis of higher level service (as PaaS, SaaS), allows cloud service provider with virtual machine (VirtualMachines, VMs) mode resource is leased to cloud service consumer, and conventionally adopt four kinds of service price computation models: GuDetermine cost (Fixedcost), variable cost (Variablecost), mixed cost (Hybridcost), flexible cost(Flexiblecost). Cloud service consumer is to reserve or mode is as required rented required virtual machine (VirtualMachine) example, reserved price of renting resource is lower, is applicable to cloud service consumer's long-term needs; Rent as required resourcePrice is higher, is applicable to cloud service consumer's short term need. If but meet cloud service consumer demand, when reserved resourceBetween long or reserved resource too much all can cause resource use cost to increase and reduce resource utilization, otherwise only with side as requiredFormula is used resource also can cause higher cost. In the face of various cloud service calculation of price model, how from cloud service consumerAngle consider resource allocation policy, be a problem demanding prompt solution to reduce cloud service consumer's cost.
At present, consider multiple cloud service calculation of price model, divide as the resource of target to reduce cloud service consumer costJoining strategy is all problem to be modeled as to integer programming model (IntegerProgrammingModel) solve, itsIn matter, all there is nondeterministic polynomial (Non-DeterministicPolynomial, NP) problem. There are large rule being applied toIn the scene of mould example, these class methods have higher time complexity, are applied to current cloud computing platform in the limited timeIn cannot give the feasible solution that goes wrong, be difficult to meet actual user's request. And the present invention can solve asking above wellTopic.
Summary of the invention
Goal of the invention is for the deficiencies in the prior art, provides a kind of service-oriented consumer's resource to divideMethod of completing the square, the method is utilized application-centered cloud computing resources distribution frame, from the angular distribution of IaaS service consumerResource, fast and effeciently ensures user's QoS to minimize cloud service consumer's cost.
The present invention solves the technical scheme that its technical problem takes: under a kind of cloud computing environment towards service consumerResource allocation method, first the method comprise the steps: according to the submission time of operation and stand-by period, generation need be treated pointThe resources requirement of joining, taking minimized resource consumer cost as target, sets up the reserved model of cloud computing resources, rents for resourceEach contract of concentrating with contract, designs single contract resource reservation algorithm, calculates on each contract as meeting resource needThe required reserved stock number of the amount of asking and corresponding minimum cost; Secondly consider the situation that contract number increases progressively successively, design is closed moreAbout resource reservation algorithm, calculates in each contract combination as meeting the required reserved resource scheme of resources requirement and rightThe minimum cost of answering; The result finally obtaining based on single contract resource reservation algorithm and many contracts resource reservation algorithm, finds out toolThere is the best resource reservation schemes of minimum cost.
Method flow:
Step 1: according to the submission time of operation and stand-by period, generate and need resources requirement to be allocated;
Step 2: taking minimized resource consumer cost as target, set up the reserved model of cloud computing resources;
Step 3: rent for resource each contract that contract is concentrated, design single contract resource reservation algorithm, calculateOn each contract, be to meet the required reserved stock number of resources requirement and corresponding minimum cost;
Step 4: consider the situation that contract number increases progressively successively, design many contracts resource reservation algorithm, calculate and close at eachApproximately combination is upper for meeting the required reserved resource scheme of resources requirement and corresponding minimum cost;
Step 5: the result obtaining based on single contract resource reservation policy and many contracts resource reservation policy, find out and haveThe best resource reservation schemes of little cost.
Above-mentioned steps 1 of the present invention comprises: described resources requirement D=(D1,D2,...,DT) be one and comprise between available areaFor the resource requirement vector of T hour, between demand available area, represent that operation need to be used resource in certain time period;
The resources requirement D of i hour between available areaiThat the All Jobs that receives of cloud platform is little at iTime summation to resource request quantity;
The mode of job request resource is divided into reserving rents resource and rents resource as required, and cloud platform is that Resource consumers is carriedRent and about k for the dissimilar resource of K kind, the term of validity of every kind of contract is tk。
Above-mentioned steps 2 of the present invention comprises: described Resource consumers cost is all t (1≤t≤T) hour cost CosttSummation, each CosttBy the reserved resources costs reserved that rents of all kinds of and about k (1≤k≤K) that use for t hourtWithRent as required resources costs ondemandtComposition, wherein reservedtThe disposable reserved resources costs R of all kinds of contractskWithResource use cost r under all kinds of contractskSummation, ondemandtBe the cost o of use-case as required per hour and service time, makeWith the product of instance number;
It is reserved that to rent the reserved number of resources of number of resources, use, rent number of resources be as required to be all more than or equal to zero integer;
T hour use reserved number of resources should be less than or equal to t hour before reserved stock number;
The reserved number of resources using for t hour should be more than or equal to the resource of t hour with the summation of renting as required number of resourcesDemand number.
Single contract resource reservation algorithm of above-mentioned steps 3 of the present invention comprises:
Step 3-1: based on use with the contract period t of about kk, interval resource requirement T is divided intoIndividual resource requirementSegment, wherein starts mostThe length of individual resource requirement segment is tk, the length of last resource requirement segmentDegree is
Step 3-2: find out j little resources requirement as current resource requirement in each resource requirement segmentThe amount of resources reserved of segment, wherein
Many contracts resource reservation algorithm of above-mentioned steps 4 of the present invention comprises:
Step 4-1: judge that whether contract collection is empty, finishes if contract integrates as sky; If contract collection non-NULL is involutory approximately concentratedWith about k, adopt step 3 resource requirement vector is carried out to single contract resource reservation, calculate and the corresponding resource reservation side of about kCase and resources consumption cost;
Step 4-2: concentrate and remove that applied and about k at contract, and according to the more new resources of resource reservation scheme of about kRequirement vector D, obtains new resource requirement vector Dnew；
Step 4-3: the contract collection based on new, execution step 41, operates new resource requirement vector.
Above-mentioned steps 5 of the present invention comprises: corresponding the disappearing of all resource reservation schemes that above-mentioned steps 3 is obtained with step 4Expense cost sorts, and finds out and has the solution of the corresponding resource reservation scheme of minimum cost as problem.
Beneficial effect:
1, the present invention meets the heuristic of resource reservation characteristic by design, has realized cloud computing resources distribution, hasEffect ground has reduced the use cost of Resource consumers, has improved allocation efficiency of resource.
2, the present invention is by calculating renting the concentrated all contracts combinations of contract, and trading-off resources is reserved to be rented and provideThe cost of source between renting as required, selection can meet resources requirement and have the resource reservation scheme of minimum cost, manyIn the item formula time, complete the global search to solution space, strengthened the availability of cloud computing platform.
Brief description of the drawings
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 list contract resource reservation flow chart of the present invention.
Fig. 4 is many contracts of the present invention resource reservation flow chart.
Detailed description of the invention
Below in conjunction with Figure of description, the invention is described in further detail.
As shown in Figure 1, cloud computing resources distribution structure of the present invention comprise resource requirement vector 11, cloud computing resource pool 12,Rent contract type and attribute 13. In this example, suppose resource requirement vector D={D1,D2,...,Dj,Dj+1,...,DTCompriseThe continuous T resource requirement of individual hour, wherein Di(1≤i≤T) represents the resources requirement of i hour. Cloud platform disappears to resourceExpense person provides two kinds to rent contract (1-monthcontract, 3-monthcontract), and each rents the reserved of contractResources costs, use are reserved resources costs, are rented reserved resources costs as shown in form in Fig. 1 as required.
Fig. 2 is method flow diagram of the present invention, and in order to meet resource requirement D with minimum cost, cloud platform is first based on rentCarry out single contract resource reservation (s201) with contract collection, then based on contract, many contracts resource reservation (s202) is carried out in combination,In all reservation schemes, find out the reservation schemes (s203) of cost minimization.
Fig. 3 is single contract resource reservation flow chart of the embodiment of the present invention, as shown in FIG., and for resource requirement vector D＝{D1,D2,...,Dj,Dj+1,...,DTFirst carry out single contract resource reservation, step is as follows:
Step s301: judge in demand segment whether have untreated segment, if there is no segment, method knotBundle; If there is segment, go to step s302.
Step s302: respectively according to the contract term of validity of 1-monthcontract and 3-monthcontract by resourceBetween the desired region of requirement vector, T is divided into multiple demand segments, is divided into for T between 1-monthcontract desired region| T/720| segment, except last segment length isOutside hour, rest interval segment length allIt is 720 hours; Be divided into for T between 3-monthcontract desired region | T/2160| segment, except last districtBetween segment length beOutside hour, rest interval segment length is all 2160 hours.
Step s303: division obtains for 1-monthcontract | T/720| segment, in each segmentIn searchIndividual little resources requirementFor 3-monthcontractDivision obtains | T/2160| segment, and in each districtBetweenIn section, search theIndividual little resources requirement
Step s304: under the contract of 1-monthcontract based on amount of resources reserved be(In stepThe 1-monthcontract amount of resources reserved obtaining in rapid s203) calculate and satisfy the demands the cost that resource vector D uses; ?Under the contract of 3-monthcontract, based on resource reservation be(The 3-obtaining in step s203Monthcontract amount of resources reserved) calculate and satisfy the demands the cost that resource vector D uses; Go to step s201.
Fig. 4 is many contracts resource reservation flow chart of the embodiment of the present invention, as shown in FIG., and for resource requirement vector D＝{D1,D2,...,Dj,Dj+1,...,DTThere are many contracts contract combined resource reserved, step is as follows:
Step s401: judge whether contract collection is empty, there is no contract if contract is concentrated, and method finishes; If contract collectionIn have contract, go to step s402.
Step s402: resource is needed based on the concentrated 1-monthcontract of contract and 3-monthcontract contractAsk vectorial D={D1,D2,...,Dj,Dj+1,...,DTDo single contract resource reservation, obtain respectively 1-monthcontract instituteNeed reserved stock number(whereinRepresent i under 1-monthcontractThe amount of resources reserved of individual segment) and cost Cost1-month(using the totle drilling cost of the reserved resource of 1-monthcontract) andThe required reserved stock number of 3-monthcontractWhereinRepresent 3-The amount of resources reserved of i segment under monthcontract) and cost Cost3-month(use 3-monthcontractThe totle drilling cost of reserved resource); If minimum cost mCost is Cost1-month, 1-monthcontract is concentrated and is deleted at contractRemove, recording amount of resources reserved RX is RX1-month(the resource reservation scheme of 1-monthcontract); If minimum cost mCostFor Cost3-month, 3-monthcontract is concentrated and deleted at contract, recording amount of resources reserved RX is RX3-month(3-The resource reservation scheme of monthcontract).
Step s403: resource requirement vector D is upgraded based on amount of resources reserved RX.
Step s404: calculate and rent the spent cost of this contract based on this contract amount of resources reserved RX, and to result setAnd record resource reservation scheme and corresponding cost, go to step s401.
All resource reservation schemes that resource reservation flow process based on Fig. 3 and Fig. 4 obtains, select wherein to have minimum one-tenthThis scheme is as the solution of problem.
Above-described embodiment is only not used in and limits the scope of the invention for the present invention is described, read the present invention itAfter, those skilled in the art all fall within to the amendment of the various equivalent form of values of the present invention that claims of the present invention limitScope.
Claims (6)
- Under cloud computing environment towards a resource allocation method for service consumer, it is characterized in that, described method comprise asLower step:Step 1: according to the submission time of operation and stand-by period, generate and need resources requirement to be allocated;Step 2: taking minimized resource consumer cost as target, set up the reserved model of cloud computing resources;Step 3: rent for resource each contract that contract is concentrated, design single contract resource reservation algorithm, calculate at eachPlant on contract as meeting the required reserved stock number of resources requirement and corresponding minimum cost;Step 4: design many contracts resource reservation algorithm, calculate in each contract combination required pre-for meeting resources requirementThe resource scheme of staying and corresponding minimum cost;Step 5: by the result obtaining based on single contract resource reservation algorithm and many contracts resource reservation algorithm, find out and haveThe best resource reservation schemes of little cost.
- Under a kind of cloud computing environment according to claim 1 towards the resource allocation method of service consumer, its featureBe, described step 1 comprises:Described resources requirement D=(D1,D2,...,DT) be a resource requirement vector comprising between available area for T hour,Between demand available area, represent that operation need to be used resource in certain time period; The resource requirement of i hour between available areaAmount DiThat the All Jobs that receives of cloud platform was i hour summation to resource request quantity;The mode of job request resource is divided into reserved rent resource and rents as required resource, and cloud platform provides K for Resource consumersPlant dissimilar resource and rent and about k, the term of validity of every kind of contract is tk。
- Under cloud computing environment according to claim 1 towards the resource allocation method of service consumer, it is characterized in that,Described step 2 comprises:Described Resource consumers cost is all t (1≤t≤T) hour cost CosttSummation, each CosttBy t hour instituteThe reserved resources costs reserved that rents of all kinds of and about k (1≤k≤K) that usetWith rent as required resources costs ondemandtComposition, wherein reservedtThe disposable reserved resources costs R of all kinds of contractskWith resource use cost r under all kinds of contractsk'sSummation, ondemandtIt is the product of the cost o of use-case as required per hour and service time, use-case number;It is reserved that to rent the reserved number of resources of number of resources, use, rent number of resources be as required to be all more than or equal to zero integer;T hour use reserved number of resources should be less than or equal to t hour before reserved stock number;The reserved number of resources using for t hour should be more than or equal to the resource requirement of t hour with the summation of renting as required number of resourcesNumber.
- Under a kind of cloud computing environment according to claim 1 towards the resource allocation method of service consumer, its featureBe, single contract resource reservation algorithm of described step 3 comprises:Step 3-1: based on use with the contract period t of about kk, interval resource requirement T is divided intoRepresent TDivided by tkThe result obtaining rounds up) individual resource requirement segment, wherein start most Represent to T divided bytkThe result obtaining rounds downwards) length of individual resource requirement segment is tk, the length of last resource requirement segment isStep 3-2: find out j little resources requirement as current resource requirement interval in each resource requirement segmentThe amount of resources reserved of section, wherein
- Under a kind of cloud computing environment according to claim 1 towards the resource allocation method of service consumer, its featureBe, many contracts resource reservation algorithm of described step 4 comprises:Step 4-1: judge that whether contract collection is empty, finishes if contract integrates as sky; If contract collection non-NULL, involutory closing of approximately concentratingAbout k, adopt step 3 resource requirement vector is carried out to single contract resource reservation, calculate and the corresponding resource reservation scheme of about k withResources consumption cost;Step 4-2: concentrate and remove that applied and about k at contract, and according to upgrading resource requirement with the resource reservation scheme of about kVector D, obtains new resource requirement vector Dnew；Step 4-3: the contract collection based on new, execution step 41, operates new resource requirement vector.
- Under a kind of cloud computing environment according to claim 1 towards the resource allocation method of service consumer, its featureBe, described step 5 comprises: consumer cost corresponding to all resource reservation schemes that above-mentioned steps 3 is obtained with step 4 carries outSequence, finds out and has the solution of the corresponding resource reservation scheme of minimum cost as problem.
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| CN110138612A (en) * | 2019-05-15 | 2019-08-16 | 福州大学 | A kind of cloud software service resource allocation methods based on QoS model self-correcting |
| CN112764918A (en) * | 2020-12-29 | 2021-05-07 | 重庆真逆思维科技有限公司 | Working method for carrying out space search on available area by cloud platform |
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Effective date of registration: 20201021 Address after: Room 307, No.11, changjingmiao street, Suzhou, Jiangsu Province, 215000 Patentee after: Suzhou shenlang Information Technology Co.,Ltd. Address before: 210003 Gulou District, Jiangsu, Nanjing new model road, No. 66 Patentee before: NANJING University OF POSTS AND TELECOMMUNICATIONS |