Intelligent application migration within a self-provisioned hybrid cloud environment

Wei Jen Wang, Yo Ming Lo, Shao Jui Chen, Yue Shan Chang

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

2 Scopus citations

Abstract

A typical hybrid cloud connects a private data center to a portion of a public cloud. It can potentially scale up the computing pool of a private cloud on demand. This work presents a novel adaptive computing framework that enables intelligent automatic application migration between a private data center and a public cloud. In the case that the workload of the private data center is too high, the proposed framework can create more computing resources in the public cloud automatically, and then move applications to the public cloud in order to reduce the workload of the private data center. The proposed framework employs the multi-agent technique to manage all resources, monitor system behavior, and negotiate all actions in the hybrid cloud. We have built a prototype of a hybrid cloud environment to demonstrate that the proposed framework is able to perform intelligent application migration and self-provisioning.

Original languageEnglish
Title of host publicationComputer Science and Convergence, CSA 2011 and WCC 2011 Proceedings
Pages295-303
Number of pages9
DOIs
StatePublished - 2012
Event3rd International Conference on Computer Science and Its Applications, CSA 2011 and 2011 FTRA World Convergence Conference, WCC 2011 - Jeju, Korea, Republic of
Duration: 12 Dec 201115 Dec 2011

Publication series

NameLecture Notes in Electrical Engineering
Volume114 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference3rd International Conference on Computer Science and Its Applications, CSA 2011 and 2011 FTRA World Convergence Conference, WCC 2011
Country/TerritoryKorea, Republic of
CityJeju
Period12/12/1115/12/11

Keywords

  • Agent-based intelligence
  • Application migration
  • Cloud computing
  • Hybrid cloud

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