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Deployment of Load Balancing in Cloud Computing: Industrial Application and Benefits
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Author(s): Binay Kumar Pandey (Department of Information Technology, College of Technology, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, India), A. P. Mukundan (Champions Group, Singapore & Aligarh Muslim University, India), Vinay Kumar Nassa (Department of Information Communication Technology, Tecnia Institute of Advanced Studies, India), Digvijay Pandey (Department of Technical Education, Government of Uttar Pradesh, India), A. Shaji George (Business System Department, Almarai Company, TSM, Riyadh, Saudi Arabia), A. Shahul Hameed (Department of Telecommunication, Consolidated Techniques Co. Ltd., Saudi Arabia)and Pankaj Dadheech (Swami Keshvanand Institute of Technology, Management, and Gramothan, India)
Copyright: 2024
Pages: 13
Source title:
Emerging Engineering Technologies and Industrial Applications
Source Author(s)/Editor(s): Younes El Kacimi (Ibn Tofail University, Morocco)and Khaoula Alaoui (Ibn Tofail University, Morocco)
DOI: 10.4018/979-8-3693-1335-0.ch017
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Abstract
Cloud computing involves virtualization, distributed computers, networking, software, and web services. Clouds have clients, datacenters, and servers. It has fault tolerance, high availability, scalability, flexibility, little user overhead, cheap ownership cost, on-demand services, etc. These difficulties require a powerful load balancing algorithm. Memory, CPU, latency, or network-load. Load balancing distributes demand to avoid overloaded distributed system nodes and optimises resource use and job response time. Load balancers ensure that processors and network nodes perform similarly. Methods initiated by sender, recipient, or symmetric. Using the divisible load scheduling theorem, a load balancing method will optimise throughput and latency for clouds of different sizes.
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