A Data Placement Strategy for Data-Intensive Applications in Cloud

With the development of information technology,data-intensive applications in cloud have been used in more and more fields.Because of the decentralized data centers in cloud,these applications now are facing some new challenges in data placement which mainly include how to reduce the time cost of data movements between data centers,how to deal with the data dependencies,and how to keep a relative load balancing of data centers.This paper proposes a data placement strategy,the three stages of which address the three challenges above respectively.Simulation shows that the strategy can effectively reduce the time cost of data movements across data centers during the application's execution.