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An Improved and Efficient and Dynamic Load Balancing Approach in Cloud Computing Environments

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  • Daniel A.

    (Galgotias University, India)

  • Partheeban Nagappan

    (Galgotias University, India)

Abstract

Cloud Computing Environment (CCE) is a newly rudimentary knowledge in the IT industry. Central to these problems lies in the establishment of an active LB algorithm. The network load can be CPU load, memory limit, postponement, or system load. In the proposed algorithm, Load Balancing (LB) done by considering priority policy. An Efficient and Dynamic Load Balancing Approach in Cloud Computing (EDBA-CC) proposed, and the related algorithm executed on CloudSim (CS). A resource allocation approach that takes into account Resource Utilization (RU) would lead to better energy efficiency. The outcomes indicate the effectiveness of the proposed algorithm. The outcomes exhibited that the EDBA-CC algorithm reduced Response Time (RT). The decreasing in RT is about 2.23 ms when the instruction length was 275 Byte, and the decreasing became more obviously with 10.12 ms for RT and 5.54 ms for RT when the instruction length was 2000 Byte.

Suggested Citation

  • Daniel A. & Partheeban Nagappan, 2022. "An Improved and Efficient and Dynamic Load Balancing Approach in Cloud Computing Environments," International Journal of Social Ecology and Sustainable Development (IJSESD), IGI Global, vol. 13(2), pages 1-7, March.
    • Handle: RePEc:igg:jsesd0:v:13:y:2022:i:2:p:1-7
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