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The Task Allocation to Virtual Machines on Dynamic Load Balancing in Cloud Environments

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Proceedings of International Conference on Paradigms of Communication, Computing and Data Analytics (PCCDA 2023)

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

In cloud computing, a number of resources are accessible to handle incoming requests. A number of VM are overloaded, and a number of VM are underloaded or inactive for task processing due to the ad hoc appearance of requests for task execution. By ensuring that all cloud resources are used with the help of an effective load balancing strategy, we can boost performance. Virtual machine allocation has drawn a lot of attention as one of the most important issues in cloud computing. In order to maximise resource use, we aim to multidimensionally load balance all the physical computers in the cloud computing platform described in this chapter. Numerous meta-heuristic techniques have been developed to address the NP-hard problem of cloud load balancing. In this study, Ant Colony Optimisation (ACO), a cloud load balancing strategy inspired by Ant Systems, is presented. We extensively simulate our proposed approach to show that it can successfully perform load balancing in VM allocation and enhance resource utilisation for the cloud computing.

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Author information

Authors and Affiliations

  1. Medi-Caps University, Indore, India

    Rudresh Shah & Suresh Jain

Authors
  1. Rudresh Shah
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  2. Suresh Jain
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Corresponding author

Correspondence to Rudresh Shah .

Editor information

Editors and Affiliations

  1. Department of Mathematics, Dr. B. R. Ambedkar National Institute Technology, Jalandhar, India

    Anupam Yadav

  2. Department of Electronics and Communication Engineering, Malaviya National Institute of Technology Jaipur, Jaipur, India

    Satyasai Jagannath Nanda

  3. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Meng-Hiot Lim

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Shah, R., Jain, S. (2023). The Task Allocation to Virtual Machines on Dynamic Load Balancing in Cloud Environments. In: Yadav, A., Nanda, S.J., Lim, MH. (eds) Proceedings of International Conference on Paradigms of Communication, Computing and Data Analytics. PCCDA 2023. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-4626-6_12

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