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Enhancing a strategy of virtualized resource assignment in adaptive resource cloud framework

  • Dong Ki Kang*
  • , Seong Hwan Kim
  • , Ye Ren
  • , Byung Sang Kim
  • , Woo Joong Kim
  • , Yu Sik Kim
  • , Chan Hyun Youn
  • , Chang Sung Jeong
  • *Corresponding author for this work
  • Korea Advanced Institute of Science and Technology
  • Korea University

Research output: Contribution to conferenceConference paperpeer-review

Abstract

Recently, cloud computing has been emerged to offer new business model for service providers and computing services for many customers in various fields. Both the profit maximization for cloud service providers and the SLA guaranteeing for cloud service customers are most important issues in the research of cloud computing. Many researches about cloud computing have been focused on VM management to satisfy both the cost minimization and acceptable QoS assurance. However, in previous studies, only VM allocation scheme that maps the single request to single instance has been considered, therefore the unnecessary extra capacity of resources has been dissipated. In this paper, we design an Adaptive Resource Cloud Framework(ARCF) with group VM allocating scheme called Multi Requests to Single VM(MRSV) to solve the problems of previous researches. Through the performance evaluation, we showed the effective resource cost saving of the proposed scheme.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013
DOIs
StatePublished - 2013
Event7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013 - Kota Kinabalu, Malaysia
Duration: 2013.01.172013.01.19

Publication series

NameProceedings of the 7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013

Conference

Conference7th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2013
Country/TerritoryMalaysia
CityKota Kinabalu
Period13.01.1713.01.19

Keywords

  • Cloud resource management
  • Cloud service broker
  • Service level agreement
  • VM allocation

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