A security aware workflow scheduling in hybrid cloud based on PSO algorithm

Abstract

In real world, organization's requirements for high performance resources and high <br />capacity storage devices encourage them to use resources in public clouds. <br />While private cloud provides security and low cost for scheduling workflow, <br />public clouds provide a higher scale, potentially exposed to the risk of data and <br />computation breach, and need to pay the costs. Task scheduling, therefore, is one <br />of the most important problems in cloud computing.<br /> In this paper, a new scheduling method is proposed for workflow applications <br />in hybrid cloud considering security. Sensitivity of tasks has been considered in recent <br />works; we, however, consider security requirement for data and security strength for <br />resources. The proposed scheduling method is implemented in Particle Swarm linebreak <br />Optimization (PSO) algorithm. Our proposed <br /> algorithm considers minimizing <br />security distance, <br />that is maximizing similarity of security between data and resources. It, meanwhile, <br />follows time and budget constraints. Through analysis of experimental results,<br />it is shown that the proposed algorithm has selected resources with the most security <br />similarity while user constraints are satisfied.