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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 proceeding › Conference contribution

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 2012 → Sep 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
Period9/25/12 → 9/27/12

All Science Journal Classification (ASJC) codes

  • Management Science and Operations Research

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