Cloud Scheduling using Meta Heuristic Algorithms

Authors

  • A Jain Dept. of Computer Science and Engineering, IES-IPS Academy, RGPV, Indore, India
  • A Upadhyay Dept. of Computer Science and Engineering, IES-IPS Academy, RGPV, Indore, India

DOI:

https://doi.org/10.26438/ijcse/v5i10.132139

Keywords:

Cloud Computing, Task Scheduling, Meta-heuristic, hyper heuristic, PSO, GA, ACO

Abstract

Cloud computing has transformed into a well-known in area of high performance, cloud computing as it offers on-request access to shared pool of resources over web in a self-service, dynamically scalable. One of the important research issues which need to be focused for its efficient performance on task scheduling which plays the key role for increase the efficiency of whole cloud computing facilities. implies that to assign best suitable resources for the requested task to be execute with the various parameters like time, cost, scalability, makespan, reliability, resource utilization, accessibility, throughput etc. In this paper, we give survey and relative studies of a few task scheduling using metaheuristic algorithms for cloud computing.

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Published

2025-11-12
CITATION
DOI: 10.26438/ijcse/v5i10.132139
Published: 2025-11-12

How to Cite

[1]
A. Jain and A. Upadhyay, “Cloud Scheduling using Meta Heuristic Algorithms”, Int. J. Comp. Sci. Eng., vol. 5, no. 10, pp. 132–139, Nov. 2025.