An efficient VM consolidation using Penguin Search Optimization Algorithm (PeSOA) for making cloud greener

Divya, N.; Suprakash, S.; Balakannan, S. P.

doi:10.1109/iceeot.2016.7755206

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…Wu et al [12] proposed an improved group genetic algorithm based VM consolidation method to trade off migration costs and energy consumption in heterogeneous clouds. Divya et al [13] proposed a system using Penguin-Search-Optimization Algorithm (PeSOA) to create an economical VM consolidation, which helps planning, going up with the several concurrent VMs with different application, and splits VM sources along with applied programs. In this way, the amount of needed VMs is also decreased.…”

Section: Literature Review a Vm Consolidation Algorithmsmentioning

confidence: 99%

A Workload-Aware VM Consolidation Method Based on Coalitional Game for Energy-Saving in Cloud

et al. 2019

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Virtual Machine (VM) consolidation technique plays an important role in energy management and load-balancing of cloud computing systems. Dynamic VM consolidation is a promising consolidation approach in this direction, which aims at using least active physical machines (PMs) through appropriately migrating VMs to reduce resource consumption. The resulting optimization problem is well-acknowledged to be NP-hard optimization problems. In this paper, we propose a novel merge-and-split-based coalitional game-theoretic approach for VM consolidation in heterogeneous clouds. The proposed approach first partitions PMs into different groups based on their workload levels, then employs a coalitional-game-based VM consolidation algorithm (CGMS) in choosing members from such groups to form effective coalitions, performs VM migrations among the coalition members to maximize the payoff of every coalition, and finally keeps PMs running in a high energy-efficiency state. The simulation results based on three scenarios clearly suggest that our proposed approach outperforms traditional ones in terms of energy-saving, and also achieve a fair level of load balance.

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Section: Literature Review a Vm Consolidation Algorithmsmentioning

confidence: 99%