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New Proposed Policies and Strategies for Dynamic Load Balancing in Cloud Computing
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Author(s): Dharmesh Dhabliya (Department of Information Technology, Vishwakarma Institute of Information Technology, India), Sukhvinder Singh Dari (Symbiosis Law School, Symbiosis International University, Pune, India), Nitin N. Sakhare (Department of Computer Engineering, BRACT'S Vishwakarma Institute of Information Technology, Pune, India), Anish Kumar Dhablia (Altimetrik India Pvt. Ltd., Pune, India), Digvijay Pandey (Department of Technical Education, Government of Uttar Pradesh, India), Balakumar Muniandi (Lawrence Technological University, USA), A. Shaji George (TSM, Almarai Company, Riyadh, Saudi Arabia), A. Shahul Hameed (Department of Telecommunication, Consolidated Techniques Co. Ltd., Riyadh, Saudi Arabia)and Pankaj Dadheech (Swami Keshvaand Institute of Technology, Management, and Gramothan, India)
Copyright: 2024
Pages: 9
Source title:
Emerging Trends in Cloud Computing Analytics, Scalability, and Service Models
Source Author(s)/Editor(s): Dina Darwish (Ahram Canadian University, Egypt)
DOI: 10.4018/979-8-3693-0900-1.ch006
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Abstract
In this chapter, there are very novel techniques in which, by deleting nodes that are either overloaded or underloaded and then reassigning the total load to the collective system's nodes, it is possible to maximise the usage of resources and the amount of time it takes for tasks to be completed. The approaches that are utilised for dynamic load balancing are based on the behaviour of the system as it is being utilised right now, as opposed to the behaviour of the system as it was being utilised in the past. When constructing an algorithm of this kind, the most essential considerations to give attention to are the estimation and comparison of load, the stability and performance of the system, the interaction between nodes, the amount of work that needs to be transmitted, and the choice of nodes.
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