Research output: Contribution to Journal/Magazine › Journal article › peer-review
Article number | 8643392 |
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<mark>Journal publication date</mark> | 1/07/2019 |
<mark>Journal</mark> | IEEE Transactions on Industrial Informatics |
Issue number | 7 |
Volume | 15 |
Number of pages | 10 |
Pages (from-to) | 4225-4234 |
Publication Status | Published |
Early online date | 18/02/19 |
<mark>Original language</mark> | English |
At present, smart manufacturing computing framework has faced many challenges such as the lack of an effective framework of fusing computing historical heritages and resource scheduling strategy to guarantee the low-latency requirement. In this paper, we propose a hybrid computing framework and design an intelligent resource scheduling strategy to fulfill the real-time requirement in smart manufacturing with edge computing support. First, a four-layer computing system in a smart manufacturing environment is provided to support the artificial intelligence task operation with the network perspective. Then, a two-phase algorithm for scheduling the computing resources in the edge layer is designed based on greedy and threshold strategies with latency constraints. Finally, a prototype platform was developed. We conducted experiments on the prototype to evaluate the performance of the proposed framework with a comparison of the traditionally-used methods. The proposed strategies have demonstrated the excellent real-time, satisfaction degree (SD), and energy consumption performance of computing services in smart manufacturing with edge computing.