Research Article Open Access

A Survey on Approaches to Build Efficient Query Services in Cloud

Abstract

Now a days there are low-cost computers, storage devices and high-capacity networks are available which led to a growth in cloud computing. Cloud provides the advantage in scalability and cost-saving. The service owners can get the advantage on scale up or down the service and only pay for the hours of using the servers. The workloads of query services are highly dynamic and serving such workloads with in house infrastructure will be inexpensive and inefficient. Data confidentiality and query privacy have become major concerns because the service providers lose the control over the data in the cloud. The data owner does not want to move to the cloud unless the data confidentiality and query privacy are guaranteed for the sensitive data..It is also necessary for a secure query service to provide efficient query processing and also reduce the in-house workload, because the purpose of using cloud resources is to reduce the need of maintaining scalable in-house infrastructure. Data confidentiality, query privacy, efficient query processing, 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 approaches are there which will address some aspects of problem. We give the comparative study of these approaches with their limitations.

Dipali R. Darpe, Prof. Rohini V. Agawane

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