Simultaneous Optimization of User-Centric Security-Conscious Data Storage on Cloud Platforms

Ever-increasing big data forces enterprises to migrate data to cloud storage systems. Data retrieval time from the cloud will directly affect the overall application performance. Meanwhile, sensitive data stored on cloud necessitates a robust security arrangement against cyberattacks. Therefore, it is imperative that both data retrieval time and data security should be taken into account simultaneously when designing a data placement strategy. In this paper, we formulate, design and evaluate the performance of a multi-objective evolutionary algorithm based data placement strategy. We show that our strategy offers users a choice to strike a balance between retrieval time and security through a set of uniformly distributed Pareto-optimal solutions. We evaluate and quantify the performance of our strategy on different cloud storage systems.