Modeling and analysis of mobile cloud computing based on bigraph theory

Lian Yu, Wei Tek Tsai, Xin Wei, Jerry Gao, Thomas T. Hildebrandt, Xiao Qun Guo

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

17 Scopus citations

Abstract

A mobile cloud is a cloud infrastructure connecting to mobile devices with a variety of applications (apps). This paper proposes utilizing bigraphical reaction systems (BRSs) to model and analyze a mobile cloud including its contexts such as mobile location, power consumption, network bandwidth, and latency. Simulations and evaluations are performed by matching the reaction rules of BRS with its current agent, on different usage scenarios of mobile cloud, to demonstrate the validity of the proposed methodology.

Original languageEnglish (US)
Title of host publicationProceedings - 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2014
PublisherIEEE Computer Society
Pages67-76
Number of pages10
ISBN (Print)9781479925049
DOIs
StatePublished - 2014
Event2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2014 - Oxford, United Kingdom
Duration: Apr 7 2014Apr 10 2014

Publication series

NameProceedings - 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2014

Other

Other2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering, MobileCloud 2014
Country/TerritoryUnited Kingdom
CityOxford
Period4/7/144/10/14

Keywords

  • BRS-based MOF
  • BRS-based simulation
  • Bigraphical reaction systems (BRSs)
  • Mobile cloud
  • Modeling and simulation
  • Sorting logic

ASJC Scopus subject areas

  • Software

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