An effective partition approach for elastic application development on mobile cloud computing

Authors:
Zhuoran Qin;Jixian Zhang;Xuejie Zhang
Affiliations:
Dept. of Computer Science and Technology, Yunnan University, Kunming, China;Dept. of Computer Science and Technology, Yunnan University, Kunming, China;Dept. of Computer Science and Technology, Yunnan University, Kunming, China,High Performance Computing Center, Yunnan University, Kunming, China
Venue:
GPC'12 Proceedings of the 7th international conference on Advances in Grid and Pervasive Computing
Year:
2012

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Abstract

Mobile cloud computing is the cloud infrastructure where the computation and storage are moved away from mobile devices. The elastic partition in according to context-awareness could break through the resource constrain of mobile devices. The improved (K+1) coarse partition algorithm is used to partition the cost graph, where the vertexes are represented by the execution cost on mobile device and offloading cost to cloud. The two factors are represented by some contextual information including execution time, current power, network and the probabilities which are obtained by the statistical analysis of historical results. The levels of context-awareness could adjust the weight of the contextual information and lead to partition again. Partition cost module is used to store and compute the contextual information. The extensive experiments deployed the OCR project on the proposed architecture demonstrate a good performance in different input and network environments.