@inproceedings{3bcf75d665ff4827921fdf1b40fe2f36,
title = "Analysis of measures to achieve resilience during virtual machine interruptions in IaaS cloud service",
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.",
keywords = "Cloud computing, IaaS, Performance evaluation, Queueing, Resilience, Virtual machine",
author = "Priya Vedhanayagam and S. Subha and Balamurugan Balusamy and P. Vijayakumar and Victor Chang",
note = "Publisher Copyright: Copyright {\textcopyright} 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.; 2nd International Conference on Internet of Things, Big Data and Security, IoTBDS 2017 ; Conference date: 24-04-2017 Through 26-04-2017",
year = "2017",
doi = "10.5220/0006419904490460",
language = "English",
series = "IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security",
publisher = "SciTePress",
pages = "449--460",
editor = "Muthu Ramachandran and Munoz, {Victor Mendez} and Verena Kantere and Gary Wills and Robert Walters and Victor Chang",
booktitle = "IoTBDS 2017 - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security",
}