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.