Efficient Cloud Workflow Scheduling with Inverted Ant Colony Optimization Algorithm

International Journal of Advanced Computer Science and Applications, Journal Year: 2023, Volume and Issue: 14(10)

Published: Jan. 1, 2023

Cloud computing has risen as a prominent paradigm, offering users on-demand access to resources and services via the Internet. In cloud environments, workflow scheduling plays vital role in optimizing resource utilization, reducing execution time, minimizing overall costs. As workflows comprise interdependent tasks that need be assigned Virtual Machines (VMs), complexity of problem increases proportion size VM availability. Due its NP-hard nature, finding an optimal solution for remains challenging task. To address this problem, researchers have turned metaheuristic approaches, which shown promise near-optimal solutions complex combinatorial optimization problems. This paper proposes novel algorithm called Inverted Ant Colony Optimization (IACO) environments. IACO is variation traditional ACO algorithm, where updated pheromone inverted influence on path chosen by ants. By leveraging complementary nature these two algorithms, our proposed aims achieve superior performance regarding total time cost, surpassing existing approaches.

Language: Английский

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Virtual Machine Placement Using Adam White Shark Optimization Algorithm in Cloud Computing

SN Computer Science, Journal Year: 2023, Volume and Issue: 5(1)

Published: Nov. 20, 2023

Language: Английский

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Adaptive virtual machine placement: a dynamic approach for energy-efficiency, QoS enhancement, and security optimization

Cluster Computing, Journal Year: 2024, Volume and Issue: 28(1)

Published: Oct. 23, 2024

Language: Английский

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