A Comparative Study of Load Balancing Algorithms: Static Approaches vs. Real-time Adaptation

Volume: 10 | Issue: 02 | Year 2024 | Subscription
International Journal of Embedded Systems and Emerging Technologies
Received Date: 10/14/2024
Acceptance Date: 10/21/2024
Published On: 2024-11-18
First Page: 1
Last Page: 5

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By: Amrita Soni and Mayank Pathak

1-Student, Department of Computer Science and Engineering, Technocrats Institute of Technology, Anandnagar, Bhopal, Madhya Pradesh 462021
2-Professor, Department of Computer Science and Engineering, Technocrats Institute of Technology, Anandnagar, Bhopal, Madhya Pradesh 462021

Abstract

Pay-per-use cloud computing offers scalable IT resources over the internet, making it a major paradigm in distributed computing. Because of its adaptability, it has been quickly adopted by various industries, which has accelerated the growth of data centers. In cloud computing, load balancing is essential for improving system performance, cutting down on execution times, and making the best use of available resources. This study investigates the effects of several load-balancing strategies on distributed systems, with a focus on dynamic and static algorithms. Static load balancing depends on a predetermined distribution and makes no adjustments during runtime, whereas dynamic load balancing, which can be distributed or non-distributed, adjusts in real time to system changes. The study also compares various methods, emphasizing their advantages and disadvantages. To highlight developments in load balancing techniques, notably those utilizing metaheuristic algorithms, job scheduling in Infrastructure as a Service (IaaS), and server consolidation, important findings from recent studies are also discussed. The analysis emphasizes how crucial effective load balancing is to maintaining system resilience, making the best use of available resources, and enhancing service quality.

Keywords: Cloud computing, load balancing, dynamic load balancing, static load balancing, distributed systems

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Citation:

How to cite this article: Amrita Soni and Mayank Pathak, A Comparative Study of Load Balancing Algorithms: Static Approaches vs. Real-time Adaptation. International Journal of Embedded Systems and Emerging Technologies. 2024; 10(02): 1-5p.

How to cite this URL: Amrita Soni and Mayank Pathak, A Comparative Study of Load Balancing Algorithms: Static Approaches vs. Real-time Adaptation. International Journal of Embedded Systems and Emerging Technologies. 2024; 10(02): 1-5p. Available from:https://journalspub.com/publication/ijeset/article=12030

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