2022/02/26 by Chukwuneke Chiamaka Ijeoma, Ijeoma, Chukwuneke Chiamaka, Prof. Inyiama +9
Computer Science · #Cloud Computing and Resource Management #Distributed #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Parallel #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.2202.13181
openalex publication_date 2022/02/26 · openalex created_date 2022/05/05 · openalex updated_date 2026/07/28
In cloud computing environment, load balancing is a key issue which is required to distribute the dynamic workload over multiple machines to make certain that no single machine is overloaded. In recent research, many organizations lose significant part of their revenues in handling the requests given by the clients over the web servers i.e. unable to balance the load for web servers which results in loss of data, delay in time and increased costs. Various static and dynamic algorithms have been proposed and implemented in the past but this have not been fully efficient for load balancing. This gave room to hybrid algorithms. Hybrid methods inherit the properties from both static and dynamic load balancing techniques and attempts at overcoming the limitation of both algorithms. This paper is a study of various hybrid load balancing algorithms in cloud computing environment.