| dc.description.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. | en_US |
