A fuzzy energy and security aware scheduling in cloud

  • Authors

    • Sirisati Ranga Swamy
    • Sridhar Mandapati
    2017-12-28
    https://doi.org/10.14419/ijet.v7i1.2.9021
  • Cloud Computing, Job Scheduling, Cloud Job Scheduling, Fuzzy Inference System, Energy and. Security.

  • Abstract

    The cloud computing is the one that deals with the trading of the resources efficiently in accordance to the user’s need. A Job scheduling is the choice of an ideal resource for any job to be executed with regard to waiting time, cost or turnaround time. A cloud job scheduling will be an NP-hard problem that contains n jobs and m machines and every job is processed with each of these m machines to minimize the make span. The security here is one of the top most concerns in the cloud. In order to calculate the value of fitness the fuzzy inference system makes use of the membership function for determining the degree up to which the input parameters that belong to every fuzzy set is relevant. Here the fuzzy is used for the purpose of scheduling energy as well as security in the cloud computing.

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  • How to Cite

    Ranga Swamy, S., & Mandapati, S. (2017). A fuzzy energy and security aware scheduling in cloud. International Journal of Engineering & Technology, 7(1.2), 117-124. https://doi.org/10.14419/ijet.v7i1.2.9021

    Received date: 2018-01-04

    Accepted date: 2018-01-04

    Published date: 2017-12-28