Distributed Fog Computing Based on Batched Sparse Codes for Industrial Control

摘要: In an industrial automation system, one of the most important parts is control loop. Fog computing a potential solution for in time-critical applications as it provides distributed services closer to connected devices. However, huge amount data exchanging among fog nodes causes high communication load, which constrains overall response time from actuators. this paper, we consider erasure environment, batched sparse (BATS) codes are applied Map and Data Shuffling stages process reduce both computation loads. The loads uncoded, coded, proposed BATS-based schemes over channels calculated, respectively. Numerical results show that scheme can simultaneously, furthermore