Bio inspired Optimization Algorithms for Scheduling Task in Cloud Environment: Review

  • G. Kiruthiga, Dr. S. Mary Vennila

Abstract

Cloud Computing is an evolving technology that provides consumers with low cost services upon their demand. Based on the incoming tasks for the respective resources an efficient task scheduling must be measure the system performed. Solving the issue, an efficient task scheduling algorithm needs to be evaluated Bio-inspired computing is a computational problem-solving technique based on nature. In recent years, this bio inspired algorithm has become very prominent in solving NP hard and NP complete problems. This paper discusses more than 15 Bio-inspired task scheduling algorithms focus on Ant colony optimization (ACO), Cuckoo search optimization Algorithm (CSA), Chicken swarm optimization (CSO) based on task scheduling with specific performance metrics.       

Keywords: Bio inspired Algorithms, Cloud Computing, NP hard, Task  Scheduling, Optimization   Algorithms.

Published
2020-05-29
Section
Articles