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An Agent-based Optimization Framework Pelin Angin+ and Bharat Bhargava
{pangin, bb}@cs.purdue.edu Abstract The proliferation of cloud computing resources in the recent years offers a way for mobile devices with limited resources to achieve computationally intensive tasks in real-time. The mobile-cloud computing paradigm, which involves collaboration between mobile and cloud resources, is expected to become increasingly popular in mobile application development. Dynamic partitioning of applications between mobile and cloud platforms based on resource availability is crucial in achieving the best performance for any computationally intensive mobile application. In this paper, we propose a dynamic performance optimization framework for mobile-cloud computing utilizing mobile agent-based application partitions. The proposed framework imposes minimal infrastructural requirements on the cloud servers, therefore exhibiting widespread applicability, as opposed to previous approaches with stricter requirements. Experiments with two real-world mobile applications serve as an initial feasibility study of the proposed framework and demonstrate the superiority of the proposed approach over monolithic execution of resource-intensive applications on mobile devices. Keywords: Mobile-Cloud Computing, Optimization Framework, Agent +: Corresponding author: Pelin Angin 305 N University St, West Lafayette, IN 47907 USA, Journal of Wireless Mobile Networks,
Ubiquitous Computing, and Dependable Applications (JoWUA), Vol. 4, No. 2, pp. 1-17,
June 2013 [pdf] |