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Online dynamic resource procurements via cloud brokerage with multiple reserved instance terms

  • Boyu Zhang
  • , Ming Fang
  • , Hejiao Huang*
  • *Corresponding author for this work
  • Changchun University of Science and Technology
  • Harbin Institute of Technology

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

Abstract

Different infrastructure resources are utilized by the Cloud broker to meet the demands of the users so that the monetary cost is minimized. To a certain extent, the demands of the users can be collected or forecasted in advance, and some off-line algorithms can be used to plan the schemes to use the resources. But it is unavoidable some demands will be unpredictable and thus the input information will be inaccurate. This blunts greatly the practical effectiveness the off-line algorithms. It is impracticable to apply the off-line algorithm with great fluctuation caused by the sudden demands. This paper addresses the challenge by an online algorithm. Extensive real world traces driven evaluations show that the proposed algorithm can save cost up to 14%.

Original languageEnglish
Title of host publicationProceedings of 2019 4th International Conference on Cloud Computing and Internet of Things, CCIOT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages10-13
Number of pages4
ISBN (Electronic)9781728143972
DOIs
StatePublished - Dec 2019
Externally publishedYes
Event4th International Conference on Cloud Computing and Internet of Things, CCIOT 2019 - Changchun, China
Duration: 6 Dec 20197 Dec 2019

Publication series

NameProceedings of 2019 4th International Conference on Cloud Computing and Internet of Things, CCIOT 2019

Conference

Conference4th International Conference on Cloud Computing and Internet of Things, CCIOT 2019
Country/TerritoryChina
CityChangchun
Period6/12/197/12/19

Keywords

  • Cloud Brokerage
  • Dynamic Resource Procurements
  • Online algorithm

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