ItemConference Paper

An Enhanced Whale Optimization Algorithm for Task Scheduling in Cloud Computing

Title
An Enhanced Whale Optimization Algorithm for Task Scheduling in Cloud Computing
Creator
Srilatha, P.; Ramadan, Ghazi Mohamad; Kumar, T. M. Kiran; Alekhya, Y.; Pani, Alok Kumar
Description
Task Scheduling is the significant challenge in the environment of Cloud Computing (CC) and has attention in numerous researchers in recent years with respect to attain cost effective computation and improve resource utilization. The existing algorithms has limitations of role and selection criteria of inertia weight was not considered. In this research, Enhanced Whale Optimization Algorithm (EWOA) is proposed for maximize effectiveness of task scheduling in CC. An inertia weight is implemented in WOA algorithm that enhances the convergence and accuracy of algorithm that helps in task scheduling effectiveness. The performance of proposed technique is estimated with performance measure of Makespan (ms), execution time (s) and resource utilization (%). The proposed method attained less execution time of 2304, 2537, 2765, 2983 and 3016s for 200, 400, 600, 800 and 1000 number of tasks. The proposed method attained the superior results when compared with other existing algorithms like Ant Colony Optimization (ACO), Grey Wolf Optimization (GWO), Particle Swarm Optimization (PSO) and Whale Optimization Algorithm (WOA). The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Source
Lecture Notes in Electrical Engineering;Volume;1270;pp.13-24
Date
01-01-2025
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
Cloud computing; Inertia weight; Resource utilization; Task scheduling; Whale optimization algorithm
Coverage
Srilatha P., Department of AI & DS, Chaitanya Bharathi Institute of Technology, Telangana, Hyderabad, India; Ramadan G.M., College of MLT, Ahl Al Bayt University, Karbala, Iraq; Kumar T.M.K., Department of CSE, Siddaganga Institute of Technology, Tumakuru, India; Alekhya Y., Department of Mathematics, Malla Reddy Engineering College for Women (UGC_Autonomous) Maisammaguda, Hyderabad, India; Pani A.K., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Bangalore, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 18761100; ISBN: 978-981977875-1;
Format
online
Language
English
Type
Conference paper

Citation

Srilatha, P.; Ramadan, Ghazi Mohamad; Kumar, T. M. Kiran; Alekhya, Y.; Pani, Alok Kumar, “An Enhanced Whale Optimization Algorithm for Task Scheduling in Cloud Computing,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/25660.

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