A Novel Modified and Optimized Meta-Heuristic Load-Balancing Technique for Cloud Computing System

Authors

  • D. Chandrasekhar Rao Department of Information Technology, Veer Surendra Sai University of Technology, Burla, Odisha
  • Suraj Sharma Department of Computer Science & Engineering, Guru Ghasidas Vishwavidyalaya, Raipur, Chhatisgarh
  • Sanjib Kumar Nayak Department of Computer Application, Veer Surendra Sai University of Technology, Burla, Odisha
  • Suresh Kumar Srichandan Department of Information Technology, Veer Surendra Sai University of Technology, Burla, Odisha
  • Alina Dash Department of Computer Science & Engineering, Veer Surendra Sai University of Technology, Burla, Odisha

Keywords:

load balancing, task scheduling, optimization, cloud computing, virtual machine

Abstract

Cloud computing has emerged as a transformative technology that offers vast computational resources to meet the growing demands of modern applications. However, the efficient allocation of these resources to ensure optimal performance and scalability remains a critical challenge. Load balancing techniques play a pivotal role in optimizing resource utilization and improving the overall performance of cloud-based systems. Cloud service providers are looking for creative ways for dispersing the load across the virtual machines. Recent study suggests that efficient task scheduling or task-virtual machine mapping techniques can be used to achieve load balancing. It's also a well-known NP-Hard problem. Hence, contrary to polynomial-time algorithms, the researchers have been searching for meta-heuristic algorithms. In order to provide a solution to the mentioned issue, this research introduced a modified firefly swarm algorithm. The primary goal is to meet all deadlines while reducing the total amount of time it takes to execute all tasks. The proposed technique is compared to particle swarm optimization, bacteria foraging optimization, and dragonfly optimization to demonstrate its efficacy. 

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Published

12.07.2023

How to Cite

Rao, D. C. ., Sharma, S. ., Nayak, S. K. ., Srichandan, S. K. ., & Dash, A. . (2023). A Novel Modified and Optimized Meta-Heuristic Load-Balancing Technique for Cloud Computing System . International Journal of Intelligent Systems and Applications in Engineering, 11(9s), 598–611. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3209

Issue

Vol. 11 No. 9s (2023)

Section

Research Article

License

Copyright (c) 2023 D. Chandrasekhar Rao, Suraj Sharma, Sanjib Kumar Nayak, Suresh Kumar Srichandan, Alina Dash

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