Resource allocation techniques based on availability and movement reliability for mobile cloud computing

Ji Su Park, Heon Chang Yu, Eun Young Lee

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

24 Citations (Scopus)

Abstract

The researches on utilizing mobile devices as resources in mobile cloud environments have been gained attentions recently because of the enhanced computer power of mobile devices with the advent of dual cores chips. In this paper, propose a resource allocation technique which offers reliable resource allocation considering the availability of mobile resources and movement reliability of mobile resources. We also demonstrate the performance of our technique through the experiments.

Original languageEnglish
Title of host publicationDistributed Computing and Internet Technology - 8th International Conference, ICDCIT 2012, Proceedings
Pages263-264
Number of pages2
DOIs
Publication statusPublished - 2012
Event8th International Conference on Distributed Computing and Internet Technologies, ICDCIT 2012 - Bhubaneswar, India
Duration: 2012 Feb 22012 Feb 4

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7154 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Conference on Distributed Computing and Internet Technologies, ICDCIT 2012
CountryIndia
CityBhubaneswar
Period12/2/212/2/4

Keywords

  • Availability
  • Fault Tolerance
  • Mobile Cloud
  • Movement Reliability
  • Resource Allocation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Park, J. S., Yu, H. C., & Lee, E. Y. (2012). Resource allocation techniques based on availability and movement reliability for mobile cloud computing. In Distributed Computing and Internet Technology - 8th International Conference, ICDCIT 2012, Proceedings (pp. 263-264). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7154 LNCS). https://doi.org/10.1007/978-3-642-28073-3_27