Combined Dragonfly and Whale Optimization Algorithm for Cost and Energy Optimization in Resource Allocation and Migration

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.