Kullback-Leibler distance criterion consolidation in cloud

The dynamic virtual machine (VM) consolidation is a key resource management technique used for achieving a trade-off between performance and energy efficiency of cloud computing systems. Selection of the source and destination hosts is a key problem in the process of VM consolidation which faces dif...

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Bibliographic Details
Published in:Journal of network and computer applications 2020-11, Vol.170, p.102789, Article 102789
Main Authors: Rahmani, Somayeh, Khajehvand, Vahid, Torabian, Mohsen
Format: Article
Language:English
Subjects:
Burstiness-aware
Cloud computing
Dynamic VM Consolidation
Kullback-leibler distance
Placement
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Summary:The dynamic virtual machine (VM) consolidation is a key resource management technique used for achieving a trade-off between performance and energy efficiency of cloud computing systems. Selection of the source and destination hosts is a key problem in the process of VM consolidation which faces different challenges in the effective management of cloud resources. One of these challenges is utilizing burstiness-aware algorithms for selecting the source and destination hosts to prevent frequent migrations, reduce Service Level Agreement (SLA) violations, and improve energy efficiency. In the current study, we propose a new approach based on the Kullback-Leibler Distance (KLD) criterion to tackle this problem. The proposed approach includes burstiness-aware algorithms for selecting the source and destination hosts to minimize SLA violations, improve energy efficiency, and decrease the number of migrations. We utilize both real-world and random workloads and CloudSim simulator to inspect the performance of proposed algorithms. The experimental results reveal that the proposed approach outperforms the previous algorithms in terms of performance.
ISSN:1084-8045
1095-8592
DOI:10.1016/j.jnca.2020.102789