A Comparative Study of Metaheuristics based Task Scheduling in Distributed Environment

Sunil Kumar, Sumit Mittal, Manpreet Singh
2017 Indian Journal of Science and Technology  
Objectives: To make an extensive survey on various meta-heuristic and hybrid task scheduling along with their classification patterns and to find the scope of improvement in these techniques. Method: This paper carries to the deep study of 99 reputed research papers from Springer, IEEE, Elsevier, Scopus indexed; SCI indexed of well-known renowned journals. These research papers are selected by taking into consideration of relevance to research area. These scheduling algorithms are compared in
more » ... rms of their performance metrics, environments and results. Findings: This paper described that there are various renowned researchers who have proposed various meta-heuristic task scheduling techniques to achieve the optimum results but after the extensive survey of various scheduling techniques based on genetic, Simulated Annealing (SA), ACO, PSO and hybrid reveals that a lot of dimensions are yet to be explored in terms of datacenter cost, virtual machine migration, energy consumption and Service-Level Agreement etc. Application: It discusses numerous meta-heuristic based task scheduling algorithms with their classification patterns so as to find the gap in the already proposed algorithm and suggest the untouched areas for the further research.
doi:10.17485/ijst/2017/v10i26/97031 fatcat:3j2hwvqhrzh67jusvoek5nfd5q