In real world, organization's requirements for high performance resources and high capacity storage devices encourage them to use resources in public clouds. While private cloud provides security and low cost for scheduling workflow, public clouds provide a higher scale, potentially exposed to the risk of data and computation breach, and need to pay the costs. Task scheduling, therefore, is one of the most important problems in cloud computing. In this paper, a new scheduling method is proposed for workflow applications in hybrid cloud considering security. Sensitivity of tasks has been considered in recent works; we, however, consider security requirement for data and security strength for resources. The proposed scheduling method is implemented in Particle Swarm \linebreak Optimization (PSO) algorithm. Our proposed algorithm considers minimizing security distance, that is maximizing similarity of security between data and resources. It, meanwhile, follows time and budget constraints. Through analysis of experimental results, it is shown that the proposed algorithm has selected resources with the most security similarity while user constraints are satisfied.
Mehravaran, M., Adibnia, F., & Pajoohan, M. (2020). A security aware workflow scheduling in hybrid cloud based on PSO algorithm. Journal of Algorithms and Computation, 52(1), 139-161. doi: 10.22059/jac.2020.76632
MLA
Maedeh Mehravaran; Fazlollah Adibnia; Mohammad-Reza Pajoohan. "A security aware workflow scheduling in hybrid cloud based on PSO algorithm". Journal of Algorithms and Computation, 52, 1, 2020, 139-161. doi: 10.22059/jac.2020.76632
HARVARD
Mehravaran, M., Adibnia, F., Pajoohan, M. (2020). 'A security aware workflow scheduling in hybrid cloud based on PSO algorithm', Journal of Algorithms and Computation, 52(1), pp. 139-161. doi: 10.22059/jac.2020.76632
VANCOUVER
Mehravaran, M., Adibnia, F., Pajoohan, M. A security aware workflow scheduling in hybrid cloud based on PSO algorithm. Journal of Algorithms and Computation, 2020; 52(1): 139-161. doi: 10.22059/jac.2020.76632