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Just-in-Time Code Offloading for Wearable Computing

delete2015-03-01
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OA
AI
Z
Zixue Cheng
P
Peng Li *
王军波 cover
王军波 (Junbo Wang)
Song Guo cover
Song Guo (Song Guo)
DOI:10.1109/TETC.2014.2387688delete
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Abstract

Abstract

En 中文
Wearable computing becomes an emerging computing paradigm for various recently developed wearable devices, such as Google Glass and the Samsung Galaxy Smartwatch, which have significantly changed our daily life with new functions. To magnify the applications on wearable devices with limited computational capability, storage, and battery capacity, in this paper, we propose a novel three-layer architecture consisting of wearable devices, mobile devices, and a remote cloud for code offloading. In particular, we offload a portion of computation tasks from wearable devices to local mobile devices or remote cloud such that even applications with a heavy computation load can still be upheld on wearable devices. Furthermore, considering the special characteristics and the requirements of wearable devices, we investigate a code offloading strategy with a novel just-in-time objective, i.e., maximizing the number of tasks that should be executed on wearable devices with guaranteed delay requirements. Because of the NP-hardness of this problem as we prove, we propose a fast heuristic algorithm based on the genetic algorithm to solve it. Finally, extensive simulations are conducted to show that our proposed algorithm significantly outperforms the other three offloading strategies.
Keywords:
Wearable computing
just-in-time
code offloading
cloud
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Emerging Topics in Computing cover
IEEE Transactions on Emerging Topics in Computing
IF:
5.4
Papers:
1.1K
Citations:
3.4K

Organization

U
University of Aizu
Scholars:
768
Papers: 1.0K
Citations: 302
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