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.
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Qin, Z., Zhang, J., Zhang, X. (2012). An Effective Partition Approach for Elastic Application Development on Mobile Cloud Computing. In: Li, R., Cao, J., Bourgeois, J. (eds) Advances in Grid and Pervasive Computing. GPC 2012. Lecture Notes in Computer Science, vol 7296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30767-6_4
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DOI: https://doi.org/10.1007/978-3-642-30767-6_4
Publisher Name: Springer, Berlin, Heidelberg
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