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Research On Data Block Storage Strategy In Cloud Storage System

Posted on:2019-01-12Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y GuoFull Text:PDF
GTID:2348330545458467Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
With the development and progress of computer technology,data computing has been moving from traditional computing to cloud computing gradually.In the development boom of big data,data storage issues,including storage cost,storage space,storage efficiency,storage security received widespread attention.Cloud storage technology is an important part of cloud computing technology,and the replica technology is the key technology in the cloud storage system.However,data replica storage technology will consume excessive storage space while ensuring data reliability.At the same time,improper location of the data copy will increase the network latency,and bring bad service experience to the user.According to the service performance index of cloud storage system and the development status of replica technology,the main research contents of this paper are as follows:First,this paper presents a problem model for data block storage problem in the cloud storage system,links the storage reliability to the physical performance of the underlying storage disk by modeling.Second,after analyzing the characteristics of the problem model,the simulated annealing algorithm is selected to solve the problem according to the use range of various heuristic random search algorithms,and during solving process,the method of generating new solutions of particle swarm optimization is referenced.Then,this paper proposes a data block storage strategy based on the direction of solution.Finally,this paper uses MATLAB to do the simulation,results show that the new strategy can greatly reduce the computing time,and at the same time its solution accuracy is approximate to the solution accuracy of the heuristic random search algorithm to a great extent.
Keywords/Search Tags:cloud storage system, server virtualization, replica technology, simulated annealing algorithm, particle swarm optimization
PDF Full Text Request
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