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QoS Based Efficient Resource Allocation and Scheduling in Cloud Computing

Author

Listed:
  • Harvinder Chahal

    (Ikgptu Kapurthala, Punjab, India)

  • Anshu Bhasin

    (Ikgptu Kapurthala, Punjab, India)

  • Parag Ravikant Kaveri

    (Symbiosis Institute of Computer Studies and Research, Symbiosis International (Deemed University), Pune, India)

Abstract

The Cloud environment is a large pool of virtually available resources that perform thousands of computational operations in real time for resource provisioning. Allocation and scheduling are two major pillars of said provisioning with quality of service (QoS). This involves complex modules such as: identification of task requirement, availability of resource, allocation decision, and scheduling operation. In the present scenario, it is intricate to manage cloud resources, as Service provider aims to provide resources to users on productive cost and time. In proposed research article, an optimized technique for efficient resource allocation and scheduling is presented. The proposed policy used heuristic based, ant colony optimization (ACO) for well-ordered allocation. The suggested algorithm implementation done using simulation, shows better results in terms of cost, time and utilization as compared to other algorithms.

Suggested Citation

  • Harvinder Chahal & Anshu Bhasin & Parag Ravikant Kaveri, 2019. "QoS Based Efficient Resource Allocation and Scheduling in Cloud Computing," International Journal of Technology and Human Interaction (IJTHI), IGI Global, vol. 15(4), pages 13-29, October.
    • Handle: RePEc:igg:jthi00:v:15:y:2019:i:4:p:13-29
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