A holistic model of the performance and the energy efficiency of hypervisors in a high‐performance computing environment. (30th June 2014)

• Record Type: Journal Article
• Authors: Guzek, Mateusz; Varrette, Sébastien; Plugaru, Valentin; Pecero, Johnatan E.; Bouvry, Pascal; Bartolini, Sandro; García, José M.; Pierson, Jean‐Marc; Dittman, Lars; Da Costa, Georges
• Is Part Of: Concurrency and computation. Volume 26:Number 15(2014:Oct.)
• Page Start: 2569
• Page End: 2590
• Publication Date: 2014-06-30
• Subjects: Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.3316
• Languages: English
• ISSNs: 1532-0626

Abstract

<abstract abstract-type="main" id="cpe3316-abs-0001"> <title>SUMMARY</title> <p id="cpe3316-para-0001">Virtualization is emerging as the prominent approach to mutualise the energy consumed by a single server running multiple virtual machines instances. The efficient utilisation of virtualized servers and/or computing resources requires understanding of the overheads in energy consumption and the throughput especially on high‐demanding high‐performance computing (HPC) platforms. In this paper, a novel holistic model for the power of virtualized computing nodes is proposed. Moreover, we create and validate instances of the proposed model using concrete measures taken during a benchmarking process that reflects an HPC usage, that is, HPC challenge, IOZone and Bonnie++, conducted using two different hardware configurations on Grid'5000 platform, based on Intel and Advanced Micro Devices (AMD) processors and three widespread virtualization frameworks, namely, Xen, Kernel‐based virtual machine and VMware ESXi. The proposed holistic model of machine power takes into account the impact of utilisation metrics of the machine's components, as well as the employed application, virtualization and hardware. The model is further derived using tools such as multiple linear regressions or neural networks that prove its elasticity, applicability and accuracy. The purpose of the model is to enable the estimation of energy consumption of virtualized platforms, aiming to make possible the optimization, scheduling or accounting in such systems or their simulation. Copyright © 2014 John Wiley & Sons, Ltd.</p> </abstract>