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一种基于对等网络的云资源多属性区间查询算法 Title:APeer-to-PeerNetwork-BasedMulti-attributeRangeQueryAlgorithmforCloudResource Abstract: Withtherapiddevelopmentofcloudcomputing,thevolumeandcomplexityofcloudresourceshavesignificantlyincreased.Efficientlyqueryingandselectingcloudresourcesbasedonmultipleattributeshasbecomeamajorchallenge.Inthispaper,weproposeanovelmulti-attributerangequeryalgorithmbasedonapeer-to-peernetwork.Thealgorithmallowsuserstosubmitquerieswithmultipleattributerangesandretrievesmatchingcloudresourcesfromadistributedcloudresourcenetwork.Weevaluatethealgorithm'sperformanceandcompareitwithexistingapproaches. 1.Introduction 1.1Background 1.2Motivation 1.3Objectives 1.4Contributions 1.5Outline 2.RelatedWork 2.1CloudResourceSelection 2.2Multi-attributeRangeQuery 2.3Peer-to-PeerNetworks 3.SystemArchitecture 3.1Overview 3.2ResourceRepository 3.3QueryProcessingModule 3.4PeerDiscoveryandSelection 3.5CommunicationandDataExchange 4.Multi-attributeRangeQueryAlgorithm 4.1QuerySpecificationandRepresentation 4.2QueryDistributionandMatching 4.3QueryResultRetrieval 4.4HandlingDynamicallyChangingNetwork 5.PerformanceEvaluation 5.1ExperimentSetup 5.2EvaluationMetrics 5.3ExperimentalResultsandAnalysis 6.ComparisonwithExistingApproaches 6.1ComparisonCriteria 6.2PerformanceComparison 6.3StrengthsandLimitations 7.Conclusion 7.1SummaryofContributions 7.2FutureDirections 8.References Intheintroduction,provideanoverviewofcloudcomputingandtheincreasingneedforefficientresourceselectionbasedonmultipleattributes.Presentthemotivationbehindtheresearchandidentifytheobjectivesofthepaper.Highlightthecontributionsoftheproposedalgorithmandoutlinethestructureofthepaper. Therelatedworksectionshoulddiscussexistingapproachesforcloudresourceselection,multi-attributerangequeryalgorithms,andpeer-to-peernetworks.Analyzetheirstrengthsandlimitationsinaddressingthechallengesoftheresearchproblem. Thesystemarchitecturesectiondescribestheproposedarchitectureforthecloudresourcenetwork.Explainhowresourcesarestored,organi