Data Selection Strategy from Database for increasing availability in Cloud Hosted Database

Abstract

Cloud is service-oriented computing emerged as a cost-effective paradigm for distributed applications because of its unique features. Distributed Datacenters of the cloud service provider allowed researchers to do their research in Cloud environment with the factors like increasing availability, reducing response time, Fault tolerance, performance etc. This paper aims at Problem of data selection from database for partitioning, Partitioning the databases relations, placing the partition in different data centers of the cloud with respect to Cloud Hosted Database. Scope of this work will focus on read intensive data operations/queries. In this paper, we focused on data selection and data partitioning technique so as to reduce overall network latency on cloud hosted database. General log is for finding the frequently accessed rows from the database. Experiment is carried on Amazon RDS.