Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing

Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing

Cloud computing has emerged as a cornerstone technology for modern computational paradigms due to its scalability and flexibility. One critical aspect of cloud computing is efficient task scheduling, which directly impacts system performance and resource utilization. In this paper, we propose an enh...

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Bibliographic Details
Main Author: Abualigah, Laith (author)
Other Authors: Hussein, Ahmad MohdAziz (author), Almomani, Mohammad H. (author), Abu Zitar, Raed (author), Migdady, Hazem (author), Alzahrani, Ahmed Ibrahim (author), Alwadain, Ayed (author)
Published: 2024
Subjects:
Cloud Computing
Task Scheduling
Jaya Algorithm
Synergistic Swarm Optimization
Levy Flight Mechanism
Resource Utilization
Online Access:https://depot.sorbonne.ae/handle/20.500.12458/1618
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https://depot.sorbonne.ae/handle/20.500.12458/1618

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