2022
DOI: 10.1002/cpe.6828
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Improved beetle swarm optimization algorithm for energy efficient virtual machine consolidation on cloud environment

Abstract: In cloud computing, virtual machine (VM) consolidation and migration are significant schemes to enhance the energy efficiency and costs of the cloud environment. The process of VM consolidation is to execute a more number of tasks with less power consumption. However, due to unreliable physical resources, energy consumption is increased. So, to solve this issue, improved beetle swarm optimization (IBSO) algorithm based on energy-aware VM consolidation is presented in this article. IBSO algorithm joins together… Show more

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Cited by 5 publications
(4 citation statements)
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References 24 publications
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“…Rahul et al [31] applied the FA to optimize data analysis in healthcare industries, and further offer optimized solutions. Wu et al [32] proposed a novel discrete PSO algorithm on the basis of the 0-1 knapsack mechanism to deal with the complicated matching problems between enterprises ' financial products. Combining the beetle swarm optimization and the PSO, Bhagavathi et al [33] designed an improved beetle swarm optimization algorithm, which can effectively reduce the energy consumption in the process of virtual machine consolidation.…”
Section: Swarm Intelligence Optimization Algorithmmentioning
confidence: 99%
“…Rahul et al [31] applied the FA to optimize data analysis in healthcare industries, and further offer optimized solutions. Wu et al [32] proposed a novel discrete PSO algorithm on the basis of the 0-1 knapsack mechanism to deal with the complicated matching problems between enterprises ' financial products. Combining the beetle swarm optimization and the PSO, Bhagavathi et al [33] designed an improved beetle swarm optimization algorithm, which can effectively reduce the energy consumption in the process of virtual machine consolidation.…”
Section: Swarm Intelligence Optimization Algorithmmentioning
confidence: 99%
“…Bhagavathi et al [101] introduced the Improved Beetle Swarm Optimization (IBSO) algorithm, which incorporates energy-aware Virtual Machine (VM) consolidation. The IBSO algorithm combines the principles of Beetle Swarm Optimization (BSO) and Particle Swarm Optimization (PSO).…”
Section: A State-of-the-arts Contributionsmentioning
confidence: 99%
“…The consideration of diverse factors, including power consumption, carbon emissions, and user waiting times, underscores the complexity of cloud resource management. Additionally, the diversity of presented algorithms, from IBSO [101] to heterogeneous energy-efficient resource allocation optimizing scheduler, highlights the importance of tailoring strategies to…”
Section: B Takeaways and Lessons Learnedmentioning
confidence: 99%
“…The Tenebris algorithm is an intelligent algorithm used for global optimization, originating from the process of Tenebris searching for food. The Tenebris algorithm simulates the process of a Tenebris searching for food, where the left and right tendrils of the Tenebris can sense the odor concentration emitted by the food [4]. The Tenebris determines the direction of the next move based on the difference in concentration perceived by the left and right tendrils until the food is found.…”
Section: Introductionmentioning
confidence: 99%