Combined Dragonfly and Whale Optimization Algorithm for Cost and Energy Optimization in Resource Allocation and Migration
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International Journal of Recent Engineering Science (IJRES) |  |
| © 2023 by IJRES Journal | ||
| Volume-10 Issue-3 |
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| Year of Publication : 2023 | ||
| Authors : Amitkumar Manekar |
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| DOI : 10.14445/23497157/IJRES-V10I3P103 |
How to Cite?
Amitkumar Manekar, "Combined Dragonfly and Whale Optimization Algorithm for Cost and Energy Optimization in Resource Allocation and Migration," International Journal of Recent Engineering Science, vol. 10, no. 3, pp. 17-22, 2023. Crossref, https://doi.org/10.14445/23497157/IJRES-V10I3P103
Abstract
In recent years, nature-inspired optimization algorithms have gained popularity in solving optimization problems in various domains. Among these algorithms, the Dragonfly Algorithm and Whale Optimization Algorithm have shown promising results in terms of convergence speed, accuracy, and robustness. This paper proposes a novel Combined Dragonfly and Whale Optimization Algorithm (CDWOA) for optimizing resource allocation and migration in a distributed computing system. The CDWOA algorithm combines the strengths of both Dragonfly and Whale Optimization Algorithms to minimize the cost and energy consumption while optimizing resource allocation and migration. The proposed algorithm is evaluated by comparing its performance with other existing schemes in terms of various performance metrics.
Keywords
PSO algorithms, Resource allocation, Optimization migration, Cost optimization, Energy optimization, Dragonfly-WOA algorithm.
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