Security-aware data replica selection strategy for Bag-of-Tasks application in cloud computing

As a typical distributed network computing environment, cloud computing has been growing tremendously recently. Although it could provide a convenient environment for the execution of data-intensive application, the primary challenge for it is how to choose the security date replica for data-intensive application from different storage resources. Considering that the security has the characteristic of fuzziness and randomness, it is quantified using the cloud model in this paper. On this basis, taking the constraints of time, cost, and security into account, a scheduling algorithm of data-intensive application based on weighted set covering problem (WSCP) is proposed. Simulation results demonstrate that the security-aware data replica selection strategy performs better than traditional selection strategy on time, cost, security utility value and load balancing deviation (LBD).