Multi-objective optimization model for seamless application execution in mobile cloud computing

Ejaz Ahmad, Suleman Khan, Ibrar Yaqoob, Abdullah Gani, Farrukh Salim

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

17 Citations (Scopus)

Abstract

Mobile Cloud Computing enables execution of compute-intensive mobile applications by leveraging the services of the cloud. In spite of enabling compute-intensive mobile application execution on resources constrained Smart
Mobile Devices, the execution in MCC is not able to carry out without disruption; which degrades the end user experience, hence, deteriorates the usability of emerging applications. The state-of-the-art solutions focus only on the mobile application execution in MCC but do not incorporate all diverse features of
the heterogeneous environment to make the execution seamless for the end user. Seamless refers to uninterrupted application execution in MCC with minimal user involvement and interaction to deliver enhanced performance, compared to the local application execution. In this paper, we propose MultiObjective Optimization model for seamless execution of distributed applications in mobile cloud computing that optimizes the execution time subject to execution cost and energy consumption. The problem is formulated as nonlinear integer programming.
Original languageEnglish
Title of host publication2013 5th International Conference on Information and Communication Technologies
Place of PublicationPiscataway
PublisherIEEE
Number of pages6
ISBN (Electronic)9781479926237
ISBN (Print)9781479926220
DOIs
Publication statusPublished - 14 Dec 2013
Externally publishedYes
Event5th International Conference on Information and Communication Technologies - IBA Main Campus, Karachi, Pakistan
Duration: 14 Dec 201315 Dec 2013

Conference

Conference5th International Conference on Information and Communication Technologies
CountryPakistan
CityKarachi
Period14/12/1315/12/13

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