Lookup NU author(s): Osama Alrajeh,
Dr Matthew Forshaw,
Dr Nigel Thomas
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Virtual machine (VM) consolidation is among the key strategic approaches that can be employed to reduce energy consumption in large computing infrastructure. However, live migration of VMs is not a trivial operation and consequently not all VMs can be easily consolidated in all circumstances. In this paper we present experiments attempting to live migrate the Kernel-based VM (KVM) executing workload form the SPECjvm2008 benchmark. In order to understand what factors in- fluence live migration we investigate three machine learning models to predict successful live migration using different training and evaluation sets drawn from our experimental data.
Author(s): Alrajeh O, Forshaw M, Thomas N
Editor(s): Philipp Reinecke and Antinisca Di Marco
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Computer Performance Engineering: 14th European Workshop (EPEW 2017)
Year of Conference: 2017
Online publication date: 13/08/2017
Acceptance date: 02/04/2016
Library holdings: Search Newcastle University Library for this item
Series Title: Lecture Notes in Computer Science