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 Article Faculty Publications -Articles 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 Sripavithra, C.K.; Kirubanand, V.B. Title A name given to the resource An Energy-aware Dynamic Scheduling Algorithm for Optimizing Workflows Under Budget-constraints 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 Journal of Internet Services and Information Security;Volume;15;Issue;1;pp.182-199 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.58346/JISIS.2025.I1.012" target="_blank" rel="noreferrer noopener">https://doi.org/10.58346/JISIS.2025.I1.012</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105002479063?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105002479063?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 Sripavithra C.K., Central Campus, Christ (Deemed to be University), Bangalore, India, Maharanis Science College for Women, Mysore, India; Kirubanand V.B., Central Campus, Christ (Deemed to be University), Bangalore, India Description An account of the resource The provision of cloud computing offers an untapping scalability and elasticity which is best suited for the execution of user tasks and complicated scientific workflows. Regardless, the big problem of workflow scheduling under a user-specified budget still prevails as a result of the task inter-dependencies and the resource diversity. This research proposes a hybrid Energy-Aware Enhanced Salp Swarm Algorithm (EA-ESSA), designed to dynamically schedule tasks while adhering to user-specified budget constraints. This technique supports dynamic scheduling using task duplication in idle time spots and integrates APIs for real-time spot pricing. This proposed technique also minimizes makespan and energy consumption by improving resource utilization. The algorithm's performance was exhaustively experimented with using both simulated workloads and actual HPC2N datasets. The simulation results show significant advancements in the makespan, resource utilization and energy consumption compared to existing algorithms like ACO, GA, PSO, and MOTSWAO. This research benefits cloud environments comprising complex, unpredictable workflows by cutting environmental effects and shrinking processing expenses. 2025, Innovative Information Science and Technology Research Group. All rights reserved. Subject The topic of the resource Budget Constraint; Energy Consumption; Idle Spots; Makespan; Resource Utilization; Scientific Workflows; Task Duplication Publisher An entity responsible for making the resource available Innovative Information Science and Technology Research Group Relation A related resource ISSN: 21822069; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online