Task Scheduling For Edge Computing In Cloud Manufacturing Environment

Abstract

Cloud manufacturing (CMfg) is a service-centric approach that transforms manufacturing resources and capabilities into manufacturing services, using technologies such as network, cloud computing, and service computing. The main problem in CMfg environment is the network latency in cloud layer. This research proposes a generic system architecture for collaboration between edge computing and CMfg and consist of into three layer; cloud layer, edge layer, and manufacturing resource layer. Also in this research proposed Dynamic Based Prioritize Algorithm (DPBA) a dynamic algorithm for efficient task scheduling in edge computing that create scheduling prioritize based on task length. The proposed algorithm is evaluated through simulations and compared with other existing algorithm such as Shortest Job First (SJF) and Early Due Date (EDD), the results demonstrate its effectiveness and potential benefits of DPBA rather than SJF and EDD. Overall, this research contributes to the field of CMfg and edge computing, and provides a practical solution for improving manufacturing productivity.