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An improved efficient: Artificial Bee Colony algorithm for security and QoS aware scheduling in cloud computing environment

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Abstract

Cloud Computing is an emerging Technology which provides IT services. Using cloud resources, computational resource requirement and ubiquitous nature are available at ease and also to pay only for availed resources are achieved through Cloud Computing environment. Here scheduling the job to the appropriate resource is an NP hard problem. Ensuring QoS during job scheduling to the users is a most prominent need. As scheduling takes place in third party’s boundary, assuring its security is an important criterion. To provide QoS such as makespan, cost, reducing task migration during the schedule and enforcing the security are the significant objective of the proposed work. Using the proposed improved efficient—Artificial Bee Colony algorithm these objectives are achieved. The implementation results prove that the proposed system achieves the objective of secure job scheduling with assured QoS.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Karunya University, Coimbatore, India

    M. Roshni Thanka & E. Bijolin Edwin

  2. Department of Computer Technology, Guindy Campus, Anna University, Chennai, India

    P. Uma Maheswari

Authors
  1. M. Roshni Thanka
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  2. P. Uma Maheswari
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  3. E. Bijolin Edwin
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Correspondence to M. Roshni Thanka.

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Thanka, M.R., Uma Maheswari, P. & Edwin, E.B. An improved efficient: Artificial Bee Colony algorithm for security and QoS aware scheduling in cloud computing environment. Cluster Comput 22 (Suppl 5), 10905–10913 (2019). https://doi.org/10.1007/s10586-017-1223-7

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  • DOI: https://doi.org/10.1007/s10586-017-1223-7

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