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Energy-Efficient Virtualized Scheduling and Load Balancing Algorithm in Cloud Data Centers

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  • J. K. Jeevitha

    (PSNA College of Engineering and Technology, India)

  • Athisha G.

    (PSNA College of Engineering and Technology, India)

Abstract

To scale back the energy consumption, this paper proposed three algorithms: The first one is identifying the load balancing factors and redistribute the load. The second one is finding out the most suitable server to assigning the task to the server, achieved by most efficient first fit algorithm (MEFFA), and the third algorithm is processing the task in the server in an efficient way by energy efficient virtual round robin (EEVRR) scheduling algorithm with FAT tree topology architecture. This EEVRR algorithm improves the quality of service via sending the task scheduling performance and cutting the delay in cloud data centers. It increases the energy efficiency by achieving the quality of service (QOS).

Suggested Citation

  • J. K. Jeevitha & Athisha G., 2021. "Energy-Efficient Virtualized Scheduling and Load Balancing Algorithm in Cloud Data Centers," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 11(3), pages 34-48, July.
    • Handle: RePEc:igg:jirr00:v:11:y:2021:i:3:p:34-48
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