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Information Journal Paper

Title

A security aware work ow scheduling in hybrid cloud based on PSO algorithm

Pages

  139-161

Abstract

 In real world, organization's requirements for high per-formance Resources and high capacity storage devices en-courage them to use Resources in public clouds. While private cloud provides security and low cost for schedul-ing work ow, public clouds provide a higher scale, po-tentially 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 work ow applications in hybrid cloud considering secu-rity. 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 Optimization (PSO) algorithm. Our proposed

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  • Cite

    APA: Copy

    Mehravaran, Maedeh, Adibnia, Fazlollah, & PAJOOHAN, MOHAMMAD REZA. (2020). A security aware work ow scheduling in hybrid cloud based on PSO algorithm. JOURNAL OF ALGORITHMS AND COMPUTATION, 52(1), 139-161. SID. https://sid.ir/paper/354595/en

    Vancouver: Copy

    Mehravaran Maedeh, Adibnia Fazlollah, PAJOOHAN MOHAMMAD REZA. A security aware work ow scheduling in hybrid cloud based on PSO algorithm. JOURNAL OF ALGORITHMS AND COMPUTATION[Internet]. 2020;52(1):139-161. Available from: https://sid.ir/paper/354595/en

    IEEE: Copy

    Maedeh Mehravaran, Fazlollah Adibnia, and MOHAMMAD REZA PAJOOHAN, “A security aware work ow scheduling in hybrid cloud based on PSO algorithm,” JOURNAL OF ALGORITHMS AND COMPUTATION, vol. 52, no. 1, pp. 139–161, 2020, [Online]. Available: https://sid.ir/paper/354595/en

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