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.
Authors: Binay Kumar Pandey, Mukundan Appadurai Paramashivan, Vinay Kumar Nassa, Digvijay Pandey, A. Shaji George, A. Shahul Hameed, Pankaj Dadheech
DOI: https://doi.org/10.4018/979-8-3693-1335-0.ch017
Publish Year: 2024
