Yellamma Pachipala , Kavya Sri Sureddy , A.B.S. Sriya Kaitepalli , Nagalakshmi Pagadala , Sai Satwik Nalabothu , Mihir Iniganti
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Optimizing Task Scheduling in Cloud Computing: An Enhanced Shortest Job First Algorithm
In the dynamic landscape of cloud computing, efficient task scheduling plays a pivotal role in optimizing resource utilization and enhancing overall system performance. This research introduces a groundbreaking approach to task scheduling in cloud environments through the implementation of a novel Modified Shortest Job First (SJF) algorithm within the CloudSim simulation framework. The primary objectives of this study are to address existing challenges in traditional scheduling algorithms, mitigate resource bottlenecks, reduce task completion times, and improve overall system efficiency.
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