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Improving Service Performance in Oversubscribed IaaS Cloud

Improving Service Performance in Oversubscribed IaaS Cloud
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Author(s): Bouaita Riad (ENSET SKIKDA, Lire Laboratory, Abdelhamid Mehri Constantine 2 University Ali Mendjli, Constanine, Algeria), Zitouni Abdelhafid (Lire Laboratory, Abdelhamid Mehri Constantine 2 University Ali Mendjli, Constanine, Algeria) and Maamri Ramdane (Lire Laboratory, University of Constantine 2 - Abdelhamid Mehri, Constanine, Algeria)
Copyright: 2020
Volume: 12
Issue: 1
Pages: 18
Source title: International Journal of Grid and High Performance Computing (IJGHPC)
Editor(s)-in-Chief: Emmanuel Udoh (Sullivan University, USA), Ching-Hsien Hsu (Asia University, Taiwan) and Mohammad Khan (East Tennessee State University, USA)
DOI: 10.4018/IJGHPC.2020010103

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Abstract

Cloud customers tend always to overestimate their resource requirements and thus, they utilize only a portion of the allocated resource which gives an opportunity for cloud providers to oversubscribe their resources. Oversubscription is a powerful technique that leverages unused resources which improves the profit of cloud providers while minimizing cost for customers. However, the benefits of this technique are without inherent risks: it increases the possibility of overload. This article proposes an autonomous architecture that uses memory oversubscription to maximize resources utilization rate. This architecture uses live migration of VMs as well as network memory as two strategies to mitigate overload generated by oversubscription.

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