Performance Evaluation of ACO and PSO Task Scheduling Algorithms in Cloud Environment

Authors

  • D Gupta CSE, Desh Bhagat University, Mandi Gobindgarh, India
  • HJS Sidhu CSE, Desh Bhagat University, Mandi Gobindgarh, India

DOI:

https://doi.org/10.26438/ijcse/v6i3.161164

Keywords:

ACO, PSO, VM, SJF, IAAS, PAAS, SAAS, Data Centre, Cloud Computing, ETC

Abstract

Use of cloud technology for different requirements of an organization is on increase. Number of companies like Amazon, Microsoft, Salesforce, etc. is leading the package of cloud services. The main objective of these companies is to ensure that right resources are assigned to clients so that the resources are not left underutilized. Cloud task scheduling is a key research area and every company is investing a lot into it to reduce the underutilization of resources and ensuring the tasks finish on time. Metaheuristic algorithms over time have been used extensively for this task. This paper analyzes the performance of two metaheuristic algorithms namely ACO & PSO for cloud task scheduling.

References

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Published

2025-11-12
CITATION
DOI: 10.26438/ijcse/v6i3.161164
Published: 2025-11-12

How to Cite

[1]
D. Gupta and H. Sidhu, “Performance Evaluation of ACO and PSO Task Scheduling Algorithms in Cloud Environment”, Int. J. Comp. Sci. Eng., vol. 6, no. 3, pp. 161–164, Nov. 2025.

Issue

Vol. 6 No. 3 (2018): IJCSE March Edition

Section

Research Article

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