Title :
Multi-objective optimization model for seamless application execution in mobile cloud computing
Author :
Ahmed, Erfan ; Khan, Sharifullah ; Yaqoob, Ibrar ; Gani, Abdullah ; Salim, F.
Author_Institution :
Dept. of Comput. Syst. & Technol, Univ. of Malaya, Kuala Lumpur, Malaysia
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 Multi-Objective 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 :
cloud computing; integer programming; mobile computing; nonlinear programming; MCC; application execution; cloud services; compute-intensive mobile applications; end user experience; mobile cloud computing; multiobjective optimization model; nonlinear integer programming; smart mobile devices; Cloud computing; Data transfer; Linear programming; Mobile communication; Mobile handsets; Optimization; Servers; Computation Offloading; Mobile Cloud Computing; Multi-objective Optimization; Seamless Application Execution;
Conference_Titel :
Information & Communication Technologies (ICICT), 2013 5th International Conference on
Conference_Location :
Karachi
Print_ISBN :
978-1-4799-2621-3
DOI :
10.1109/ICICT.2013.6732790