An Agent-based Optimization Framework for Mobile-Cloud Computing
Pelin Angın, Bharat Bhargava · 2016
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 ap-plications between mobile and cloud platforms based on resource availability is crucial in achiev-ing the best performance for any computationally intensive mobile application. In this paper, we propose a dynamic performance optimization framework for mobile-cloud computing utilizing mo-bile agent-based application partitions. The proposed framework imposes minimal infrastructural requirements on the cloud servers, therefore exhibiting widespread applicability, as opposed to pre-vious 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.