A stochastic model for performance and energy consumption analysis of rejuvenation and migration-enabled cloud

Yunni Xia, Yakai Han, Mengchu Zhou, Jia Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In the cloud computing paradigm, periodical rejuvenation serves as a preventive measure consolidates robustness and performance through refreshing cloud data-centers or machines. Another factor that influences system performance is VM migration, which transports VMs from a physical machine to another. In this work, we propose a comprehensive framework to model and evaluate performance and energy consumption of cloud-based systems with rejuvenation, migration, failure, and repair. The accuracy and correctness of the proposed model and analysis method are validated by discrete-event simulation.

Original languageEnglish (US)
Title of host publication2014 International Conference on Advanced Mechatronic Systems, ICAMechS
PublisherIEEE Computer Society
Pages139-144
Number of pages6
ISBN (Electronic)9781479963812
DOIs
StatePublished - Sep 25 2014
Event2014 International Conference on Advanced Mechatronic Systems, ICAMechS 2014 - Kumamoto, Japan
Duration: Aug 10 2014Aug 12 2014

Publication series

NameInternational Conference on Advanced Mechatronic Systems, ICAMechS
ISSN (Print)2325-0682
ISSN (Electronic)2325-0690

Other

Other2014 International Conference on Advanced Mechatronic Systems, ICAMechS 2014
CountryJapan
CityKumamoto
Period8/10/148/12/14

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Mechanical Engineering

Keywords

  • Cloud
  • energy consumption
  • performance
  • rejuvenation

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