Analysis of measures to achieve resilience during virtual machine interruptions in IaaS cloud service

Priya Vedhanayagam, S. Subha, Balamurugan Balusamy, P. Vijayakumar, Victor Chang

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

In cloud computing era, the resilience issues faced by cloud computing services may be high. And therefore, the best alternative to reckon with the effects on the Quality-of-Service is to preserve resilience of Cloud computing service. To address this issue, an analytical model is proposed to study queueing system to handle various virtual machine interruptions. The proposed model recommends a secondary virtual machine to redeem the primary virtual machine during a probable halt. The work highlights the innovation employed for analysing the measures to achieve resilience during virtual machine interruptions in IaaS cloud service, the main objective of this research. The model is simulated using SHARPE and the results declare guaranteed performance for the IaaS clients to achieve high availability of service as the response time never deflate during VM interruptions.

Original languageEnglish
Title of host publicationIoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security
EditorsMuthu Ramachandran, Victor Mendez Munoz, Verena Kantere, Gary Wills, Robert Walters, Victor Chang
PublisherSciTePress
Pages449-460
Number of pages12
ISBN (Electronic)9789897582455
DOIs
Publication statusPublished - 2017
Event2nd International Conference on Internet of Things, Big Data and Security, IoTBDS 2017 - Porto, Portugal
Duration: 24 Apr 201726 Apr 2017

Publication series

NameIoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security

Conference

Conference2nd International Conference on Internet of Things, Big Data and Security, IoTBDS 2017
Country/TerritoryPortugal
CityPorto
Period24/04/1726/04/17

Keywords

  • Cloud computing
  • IaaS
  • Performance evaluation
  • Queueing
  • Resilience
  • Virtual machine

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