Task Scheduling in Cloud Computing using Hippopotamus Optimization Algorithm

Year : 2026 | Volume : 13 | Issue : 02 | Page : 22 29
By

Rekha S.,

Bhargavi K.,

Dinesha H.A.,

  1. Student, Department of Computer Science and Engineering Siddaganga Institute of Technology, Tumakuru, Karnataka, India
  2. Assistant Professor, Department of Computer Science and Engineering Siddaganga Institute of Technology, Tumakuru, Karnataka, India
  3. Assistant Professor, Department of Computer Science and Engineering Siddaganga Institute of Technology, Tumakuru, Karnataka, India

Abstract

Cloud computing, which provides remote clients with on-demand services, has emerged as a crucial component of contemporary technology. It is still difficult to schedule tasks effectively in such diverse and dynamic situations. Motivated by the hippopotamus’s balanced exploration and exploitation behavior, this research suggests a unique work scheduling method utilizing the hippopotamus optimization algorithm (HOA). In order to maximize resource usage and throughput while minimizing makespan and execution cost, the suggested HOA-based scheduler dynamically assigns jobs to virtual machines. As demonstrated by simulation results, HOA outperforms other existing methods like the intelligent and interpretable rule-based metaheuristic task scheduling (IRMTS), the henry gas–harris hawks comprehensive-opposition (HGHHC) algorithm, and the optimised AI-Driven swarm-based enhanced task scheduling model (OASE-TSM) in terms of execution time, load balancing, and throughput. HOA is ideal for large-scale and real-time cloud systems because to its adaptability and lightweight design. Future research will concentrate on expanding HOA’s scalability for sustainable cloud computing and adding energy-aware scheduling.

Keywords: Cloud computing, task scheduling, hippopotamus optimization algorithm (HOA), resource utilization, makespan, throughput, load balancing, metaheuristic algorithms, real-time scheduling, energy- aware scheduling

[This article belongs to Research & Reviews: Discrete Mathematical Structures ]

How to cite this article: Rekha S., Bhargavi K., Dinesha H.A.. Task Scheduling in Cloud Computing using Hippopotamus Optimization Algorithm. Research & Reviews: Discrete Mathematical Structures. 2026; 13(02):22-29.
How to cite this URL: Rekha S., Bhargavi K., Dinesha H.A.. Task Scheduling in Cloud Computing using Hippopotamus Optimization Algorithm. Research & Reviews: Discrete Mathematical Structures. 2026; 13(02):22-29. Available from: https://journals.stmjournals.com/rrdms/article=2026/view=250993

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Regular Issue Subscription Original Research
Volume 13
Issue 02
Received 14/05/2026
Accepted 19/05/2026
Published 30/05/2026
Publication Time 16 Days

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