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27 November 2023 Resilient mobile distributed computing framework: a coded computing and named data networking approach
Qi Zhao, Yi Li, Huong Ngoc Dang, Hang Liu, Xin Tian, Genshe Chen
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Proceedings Volume 12546, Sensors and Systems for Space Applications XVI; 1254608 (2023) https://doi.org/10.1117/12.2665079
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States
Abstract
The rapid growth of the demand for mobile sensing makes it difficult to process all sensing tasks on a single mobile device. Therefore, the concept of distributed computing was proposed, in which the computation tasks are distributed to all available devices in the same edge network to achieve faster data processing. However, in some critical scenarios, in which the network condition of the edge is poor, the bandwidth of the edge network is limited, and the connection is unstable, which can significantly affect the performance of distributed computing. To overcome such issues, we propose a resilient mobile distributed computing framework adopting an integrated solution combining Coded Computing (CC) and Named Data Networking (NDN). With NDN, the network traffic and information sharing within the edge network is optimized dynamically to adapt to the timevarying network condition. The CC technique can recover some of the missing computation results when an edge node is failed or disconne
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Qi Zhao, Yi Li, Huong Ngoc Dang, Hang Liu, Xin Tian, and Genshe Chen "Resilient mobile distributed computing framework: a coded computing and named data networking approach", Proc. SPIE 12546, Sensors and Systems for Space Applications XVI, 1254608 (27 November 2023); https://doi.org/10.1117/12.2665079
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KEYWORDS
Distributed computing
Target recognition
Computer networks
Data processing
Mobile devices
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