Load Balancing in Cloud Computing Using Meta-Heuristic Algorithm: Survey

Abstract

Load balancing is essential within the cloud. Distributing the workload over many servers permits for a more efficient machine. Optimal resource use, decreased time to response, and more advantageous gadget performance are all results. Among the numerous challenges that traditional methods of accomplishing equilibrium come upon are problems with adaptability and the unpredictability of cloud structures. This survey focuses on the demanding situations associated with load balancing in cloud computing and proposes the usage of specialized algorithms as an answer. It determines the most reliable alternatives for facts placement in the cloud. Meta-heuristic algorithms draw concept from herbal approaches, which includes the foraging behavior of ants or the hunting strategies of predators. These algorithms excel at rapidly finding super answers in situations where conventional optimization algorithms fail to get great results. Various strategies have been proposed to attain paintings equilibrium in cloud computing. Evidence has shown that these techniques can enhance work balance in cloud computing.