A privacy and price-aware inter-cloud system

Yuanfang Chi, Wei Cai, Zhen Hong, Chun Bun Henry Chan, Victor C.M. Leung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

Cloud service selection and financial expense are two main concerns of users considering adoption of cloud computing services. In this paper, we propose a novel cloud federation that is cognitive to the dynamic prices. The cloud federation system first determines on which cloud services should the user applications be deployed. Then, when a cloud provider is charging too high for a VM, the proposed system automatically migrates user tasks to a cloud system that is charging at a lower rate. We discuss the architectural framework and platform design, provide a mathematic formulation and investigate a total service fee minimization approach with privacy constraints. Preliminary simulation results demonstrate the proposed system can lower the cost of cloud services by exploiting the advantages of different price policies provided by multiple cloud providers.
Original languageEnglish
Title of host publicationProceedings - IEEE 7th International Conference on Cloud Computing Technology and Science, CloudCom 2015
PublisherIEEE
Pages298-305
Number of pages8
ISBN (Electronic)9781467395601
DOIs
Publication statusPublished - 1 Feb 2016
Event7th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2015 - Robson Square Campus of the University of British Columbia, Vancouver, Canada
Duration: 30 Nov 20153 Dec 2015

Conference

Conference7th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2015
CountryCanada
CityVancouver
Period30/11/153/12/15

Keywords

  • Cloud Computing
  • Cognitive
  • Inter-Cloud
  • Pricing
  • Privacy

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computational Theory and Mathematics

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