A comparative evaluation of heuristic and metaheuristic job scheduling algorithms for optimized resource management in cloud environments

An essential element of cloud computing is effective job scheduling, which optimizes resource utilization and minimizes operational costs. Numerous scheduling methodologies have been developed, each targeting specific performance objectives such as reducing makespan, minimizing flow time, decreasing...

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Bibliographic Details

Main Authors:	Haque, Najmul, Zafril Rizal, M. Azmi, Murad, Saydul Akbar
Format:	Conference or Workshop Item
Language:	en
Published:	IEEE 2026
Subjects:	QA75 Electronic computers. Computer science
Online Access:	https://umpir.ump.edu.my/id/eprint/47296/1/A_Comparative_Evaluation_of_Heuristic_and_Metaheuristic_Job_Scheduling_Algorithms_for_Optimized_Resource_Management_in_Cloud_Environments.pdf https://umpir.ump.edu.my/id/eprint/47296/ https://doi.org/10.1109/ICSECS65227.2025.11278941
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