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

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

doi:10.1109/ICICT.2013.6732790

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 proceeding › Conference contribution › peer-review

18 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 language	English
Title of host publication	2013 5th International Conference on Information and Communication Technologies
Place of Publication	Piscataway
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781479926237
ISBN (Print)	9781479926220
DOIs	https://doi.org/10.1109/ICICT.2013.6732790
Publication status	Published - 14 Dec 2013
Externally published	Yes
Event	5th International Conference on Information and Communication Technologies - IBA Main Campus, Karachi, Pakistan Duration: 14 Dec 2013 → 15 Dec 2013

Conference

Conference	5th International Conference on Information and Communication Technologies
Country/Territory	Pakistan
City	Karachi
Period	14/12/13 → 15/12/13

Keywords

Seamless application execution
multi-objective optimization
Computation offloading
Mobile cloud computing

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10.1109/ICICT.2013.6732790

Cite this

@inproceedings{dfbbf403ecee439791548009c8c62ca2,

title = "Multi-objective optimization model for seamless application execution in mobile cloud computing",

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 SmartMobile 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 ofthe 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. ",

keywords = "Seamless application execution, multi-objective optimization, Computation offloading, Mobile cloud computing",

author = "Ejaz Ahmad and Suleman Khan and Ibrar Yaqoob and Abdullah Gani and Farrukh Salim",

note = "This work is funded by the Malaysian Ministry of Higher Education under the University of Malaya High Impact Research Grant - UM.C/HIRIMOHE/FCSIT/03. Ejaz Ahmed's research work is supported by the Bright Spark Unit, University of Malaya, Malaysia.; 5th International Conference on Information and Communication Technologies ; Conference date: 14-12-2013 Through 15-12-2013",

year = "2013",

month = dec,

day = "14",

doi = "10.1109/ICICT.2013.6732790",

language = "English",

isbn = "9781479926220",

booktitle = "2013 5th International Conference on Information and Communication Technologies",

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address = "United States",

}

Ahmad, E, Khan, S, Yaqoob, I, Gani, A & Salim, F 2013, Multi-objective optimization model for seamless application execution in mobile cloud computing. in 2013 5th International Conference on Information and Communication Technologies. IEEE, Piscataway, 5th International Conference on Information and Communication Technologies, Karachi, Pakistan, 14/12/13. https://doi.org/10.1109/ICICT.2013.6732790

TY - GEN

T1 - Multi-objective optimization model for seamless application execution in mobile cloud computing

AU - Ahmad, Ejaz

AU - Khan, Suleman

AU - Yaqoob, Ibrar

AU - Gani, Abdullah

AU - Salim, Farrukh

N1 - This work is funded by the Malaysian Ministry of Higher Education under the University of Malaya High Impact Research Grant - UM.C/HIRIMOHE/FCSIT/03. Ejaz Ahmed's research work is supported by the Bright Spark Unit, University of Malaya, Malaysia.

PY - 2013/12/14

Y1 - 2013/12/14

N2 - 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 SmartMobile 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 ofthe 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.

AB - 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 SmartMobile 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 ofthe 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.

KW - Seamless application execution

KW - multi-objective optimization

KW - Computation offloading

KW - Mobile cloud computing

U2 - 10.1109/ICICT.2013.6732790

DO - 10.1109/ICICT.2013.6732790

M3 - Conference contribution

SN - 9781479926220

BT - 2013 5th International Conference on Information and Communication Technologies

PB - IEEE

CY - Piscataway

T2 - 5th International Conference on Information and Communication Technologies

Y2 - 14 December 2013 through 15 December 2013

ER -

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

Abstract

Conference

Keywords

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