Resilient mobile distributed computing framework: a coded computing and named data networking approach
Resilient mobile distributed computing framework: a coded computing and named data networking approach
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弹性移动分布式计算框架：编码计算和命名数据网络方法
DOI：
10.1117/12.2665079
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Chen, G.
中科院分区：
文献类型：
--
作者：
Zhao, Q.;Li, Y.;Dang, H. N.;Liu, H.;Tian, X.;Chen, G.
对移动的感测的需求的快速增长使得难以在单个移动终端上处理所有感测任务。因此，提出了分布式计算的概念，将计算任务分布到同一边缘网络中的所有可用设备，以实现更快的数据处理。然而，在一些关键场景中，边缘的网络条件较差，边缘网络的带宽有限，连接不稳定，这会显著影响分布式计算的性能。为了克服这些问题，我们提出了一个弹性的移动的分布式计算框架，采用集成的解决方案相结合的编码计算（CC）和命名数据网络（NDN）。通过NDN，边缘网络内的网络流量和信息共享被动态地优化以适应时变的网络条件。CC技术可以在边缘节点失效或断开连接时恢复部分丢失的计算结果
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