Title: Resource consumption trade-off for reducing hotspot migration in modern data centres

Authors: Mouhebeddine Berrima; Walid Louhichi; Narjes Ben Rajeb

Addresses: University of Monastir, Avenue Taher Hadded B.P. 56 Monastir 5000 Tunisia; LIPSIC, University of Tunis El Manar, Farhat Hached B.P. No. 94, 1068 Tunis, Tunisia ' ISET Gabes, Route de Medenine, Gabès 6011, Tunisia; LIPSIC, University of Tunis El Manar, Farhat Hached B.P. No. 94, 1068 Tunis, Tunisia ' University of Carthage, Avenue de la République BP 77-1054 Amilcar, Tunisia; LIPSIC, University of Tunis El Manar, Farhat Hached B.P. No. 94, 1068 Tunis, Tunisia

Abstract: Virtual machine migration is a basic mechanism to implement dynamic resource management such as resource restraints management, physical machine consolidation, and load balancing. These are necessary to reduce the operational costs of cloud providers and thus increase their business profits. However, the migration operations interrupt the execution of user services leading to a degradation of service performance. In this paper, we propose a virtual machine placement algorithm significantly reducing the number of hotspot migrations performed to manage resource restraints. The reduction overhead is an extra use of resources depending on some cloud environment settings. The proposed algorithm is designed for dynamic modern data centres housed in truck-towed containers, and thus can be relocated at sites where utilities for electricity are cheaper. Through empirical evaluation, we analyse the trade-off between hotspot migrations and resource consumption according to different parameters. Simulation results affirm that our algorithm is more efficient in data centres with a greater degree of physical machine virtualisation. Moreover, compared to a proactive migration algorithm, our algorithm promotes better the reduction of hotspot migrations in high dynamic data centres.

Keywords: cloud computing; modern data centre; resource consumption; hotspot migration; virtual machine placement algorithm.

DOI: 10.1504/IJGUC.2021.117879

International Journal of Grid and Utility Computing, 2021 Vol.12 No.3, pp.332 - 346

Received: 06 Jul 2020
Accepted: 16 Nov 2020
Published online: 04 Oct 2021 *

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