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  • 标题:A Survey on Approaches to Build Efficient Query Services in Cloud
  • 本地全文:下载
  • 作者:Dipali R. Darpe ; Prof. Rohini V. Agawane
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2014
  • 卷号:2
  • 期号:12
  • 出版社:S&S Publications
  • 摘要:Now a days there are low-cost computers, storage devices and high-capacity networks are availablewhich led to a growth in cloud computing. Cloud provides the advantage in scalability and cost-saving. The serviceowners can get the advantage on scale up or down the service and only pay for the hours of using the servers. Theworkloads of query services are highly dynamic and serving such workloads with in house infrastructure will beinexpensive and inefficient. Data confidentiality and query privacy have become major concerns because the serviceproviders lose the control over the data in the cloud. The data owner does not want to move to the cloud unless the dataconfidentiality and query privacy are guaranteed for the sensitive data..It is also necessary for a secure query service toprovide efficient query processing and also reduce the in-house workload, because the purpose of using cloud resourcesis to reduce the need of maintaining scalable in-house infrastructure. Data confidentiality, query privacy, efficient queryprocessing, and low in-house processing cost are the requirement for constructing practical query service in the cloud.Satisfying al this requirement will increase the complexity of building query services in cloud. Some related approachesare there which will address some aspects of problem. We give the comparative study of these approaches with theirlimitations.
  • 关键词:target distribution; LBS; bucketization; query privacy; data confidentiality
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