Open Access

ARTICLE

Optimal Load Balancing in Cloud Environment of Virtual Machines

Fuad A.M. Al-Yarimi^1,*, Sami Althahabi¹, Majdy Mohammed Eltayeb²

1 Department of Computer Science, King Khalid University, Muhayel Aseer, Kingdom of Saudi Arabia
2 Department of Information System, King Khalid University, Muhayel Aseer, Kingdom of Saudi Arabia

* Corresponding Author: Fuad A.M. Al-Yarimi. Email:

Computer Systems Science and Engineering 2022, 41(3), 919-932. https://doi.org/10.32604/csse.2022.021272

Received 28 June 2021; Accepted 05 August 2021; Issue published 10 November 2021

Abstract

Cloud resource scheduling is gaining prominence with the increasing trends of reliance on cloud infrastructure solutions. Numerous sets of cloud resource scheduling models were evident in the literature. Cloud resource scheduling refers to the distinct set of algorithms or programs the service providers engage to maintain the service level allocation for various resources over a virtual environment. The model proposed in this manuscript schedules resources of virtual machines under potential volatility aspects, which can be applied for any priority metric chosen by the server administrators. Also, the model can be flexible for any time frame-based analysis of the load factor. The model discussed in this manuscript relies on the Bollinger Bands tool for understanding the potential volatility aspects of a Virtual Machine. The experimental study of the model compared to the contemporary load balancing model called STLB (Starvation Threshold-based Load Balancing) refers to a simple and potential model that can be more pragmatic for sustainable ways of load balancing.

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Keywords

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