QoS-aware service selection in virtualization-based Cloud computing

Ruozhou Yu, Xudong Yang, Jun Huang, Qiang Duan, Yan Ma, Yoshiaki Tanaka

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

11 Scopus citations

Abstract

Cloud computing is one of the most significant latest efforts in the field of information technology, which may change the way how information services are provisioned. In a Cloud environment, different types of resources need to be virtualized as a collection of Cloud services using virtualization technology. End-users in the Cloud are usually provided with customized Cloud services that involve not only different kinds of computing services but also the networks interconnecting those computing services. Therefore, a set of Cloud computing services and the networking services should be modeled as a composite customized Cloud service. In this paper, we present an improved model for Cloud service provisioning based on our previous Network-Cloud proposal, and propose a procedure with several QoS-aware service selection algorithms for composing different services offered by a Cloud. Our analysis with numerical experiments show that the presented algorithms can select services appropriately that deal with different requirements of service provisioning.

Original languageEnglish (US)
Title of host publication14th Asia-Pacific Network Operations and Management Symposium
Subtitle of host publication"Management in the Big Data and IoT Era", APNOMS 2012 - Final Program
DOIs
StatePublished - 2012
Event14th Asia-Pacific Network Operations and Management Symposium: "Management in the Big Data and IoT Era", APNOMS 2012 - Seoul, Korea, Republic of
Duration: Sep 25 2012Sep 27 2012

Publication series

Name14th Asia-Pacific Network Operations and Management Symposium: "Management in the Big Data and IoT Era", APNOMS 2012 - Final Program

Other

Other14th Asia-Pacific Network Operations and Management Symposium: "Management in the Big Data and IoT Era", APNOMS 2012
Country/TerritoryKorea, Republic of
CitySeoul
Period9/25/129/27/12

All Science Journal Classification (ASJC) codes

  • Management Science and Operations Research

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