Self-Improved Black Widow Algorithm for Cloud Load Balancing
Koppula Geeta, V. Kamakshi Prasad · Advances in computer science research · 2024
Recently, cloud computing has emerged as a predominant technique in the realm of information technology.The increasing demand of cloud computing platform in terms of computing and data storage so that the cloud providers offers numerous data centers present at various locations across the world.These data centers comprise of millions of IT servers.Due to the fact, data centers consume excess energy and liberate high amount of carbon footprint.This lead to create dangerous effect on the environment.In this paper, a self improved black widow optimization algorithm (SI-BWO) based load balancing incloud computing.While receiving a task request from the client for accessing task, the PM assign several VM on the basis of multi-objective such as power consumption, migration cost, memory usage, and load balancing.The parameters like response time, Turn around time and server load are consider for load balancing.To attain better load balancing, the suitable VM is selected by employing proposed optimization.Finally, the proposed SI-BWO model has been computed based on make span, memory usage, migration cost, power consumption, response time, server load, throughput, turnaround time, and convergence.