Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Srilatha, P.; Ramadan, Ghazi Mohamad; Kumar, T. M. Kiran; Alekhya, Y.; Pani, Alok Kumar Title A name given to the resource An Enhanced Whale Optimization Algorithm for Task Scheduling in Cloud Computing Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering;Volume;1270;pp.13-24 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-7876-8_2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-7876-8_2</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85218946799?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85218946799?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Srilatha P., Department of AI &amp; 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 Description An account of the resource 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. Subject The topic of the resource Cloud computing; Inertia weight; Resource utilization; Task scheduling; Whale optimization algorithm Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 18761100; ISBN: 978-981977875-1; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online