A comprehensive QoS determination model for Infrastructure-as-a-Service clouds

Yunni Xia, Mengchu Zhou, Xin Luo, Qingsheng Zhu

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

5 Scopus citations

Abstract

Cloud computing is a recently developed new technology for complex systems with massive service sharing, which is different from the resource sharing of the grid computing systems. In a cloud environment, service requests from users go through numerous provider specific steps from the instant it is submitted to when the service is fully delivered. Quality modeling and analysis of clouds are not easy tasks because of the complexity of the provisioning mechanism and the dynamic cloud environment. This study proposes an analytical modelbased approach for quality evaluation of Infrastructure-as-a-Service cloud and consider expected request completion time, rejection probability, and system overhead rate as key QoS metrics. It also features with the modeling of different warming and cooling strategies of machines and the ability to identify the optimal balance between system overhead and performance.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
Pages122-127
Number of pages6
DOIs
StatePublished - Dec 1 2013
Event2013 IEEE International Conference on Automation Science and Engineering, CASE 2013 - Madison, WI, United States
Duration: Aug 17 2013Aug 20 2013

Publication series

NameIEEE International Conference on Automation Science and Engineering
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Other

Other2013 IEEE International Conference on Automation Science and Engineering, CASE 2013
CountryUnited States
CityMadison, WI
Period8/17/138/20/13

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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