A cost-effective intelligent configuration model in cloud computing

Wei Tek Tsai, Guanqiu Qi, Yinong Chen

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

21 Scopus citations

Abstract

Cloud computing environments provide a resource pool for customers for their processing, storage and networking needs. It is necessary for customers to choose desirable configuration from vast resources available in the cloud. This paper proposes a heuristic model to choose a cloud configuration for efficient use. Trend analysis in data mining is used to predict the future trend and assist provisioning. The model is experimented with Intel power 32 core machine and in Azure cloud. Both environments demonstrated that the proposed model provided effective solutions.

Original languageEnglish (US)
Title of host publicationProceedings - 32nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2012
Pages400-408
Number of pages9
DOIs
StatePublished - 2012
Event32nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2012 - Macau, China
Duration: Jun 18 2012Jun 21 2012

Other

Other32nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2012
CountryChina
CityMacau
Period6/18/126/21/12

Keywords

  • cloud
  • configuration

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

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    Tsai, W. T., Qi, G., & Chen, Y. (2012). A cost-effective intelligent configuration model in cloud computing. In Proceedings - 32nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2012 (pp. 400-408). [6258186] https://doi.org/10.1109/ICDCSW.2012.46