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Mobile applications are becoming increasingly ubiquitous and provide ever richer functionality on mobile devices, while such applications drain increasingly more battery power of mobile devices. Offloading some parts of the application running on mobile devices onto remote servers/clouds is a promising approach to extend the battery life of mobile devices. However, as data transmission of offloading...
Partitioning and offloading some parts of mobile applications onto remote servers is a promising approach to extend the battery life of mobile devices. However, since available network bandwidths vary in a wireless environment, static partitionings proposed by previous works with a fixed bandwidth assumption are unsuitable for mobile platforms, while dynamic partitionings result in high overhead due...
For resource-constraint devices, it is possible to save energy of mobile devices by offloading its computation to a remote server. Traditionally, the application partitioning is the key element of computation offloading. However, making a good partitioning needs to tradeoff the communication cost and computational cost. To address this problem, we propose Energy-Aware Dynamic Application Partitioning...
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