TY - GEN
T1 - A cloud-supported cps approach to control decision of process manufacturing
T2 - 13th IEEE Conference on Automation Science and Engineering, CASE 2017
AU - Ning, Zhaolong
AU - Hou, Weigang
AU - Hu, Xiping
AU - Gong, Xiaoxue
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - The Cyber-Physical System (CPS) concept is now attracting attention in systems engineering, and it is being applied to a fully automated factory control in processes such as semiconductor fabrication. In this paper, we propose a novel control decision structure for process manufacturing, designated as the 3D Optical Network-on-Chip (ONoC) multi-core system, based on the cloud-supported CPS concept. We first construct a task graph - which includes interconnected Virtual Machines (VMs) - to represent the interaction between industrial-physical processes and cyber states. Given the task graph, the control decision process becomes into the problem of the on-chip VM placement. We then design a highly reliable on-chip VM placement scheduling to find the optimal control strategy while guaranteeing the reliability of the 3D ONoC structure. The simulation results demonstrate that our scheme achieves a higher reliability of the 3D ONoC structure when we make the control decision for process manufacturing.
AB - The Cyber-Physical System (CPS) concept is now attracting attention in systems engineering, and it is being applied to a fully automated factory control in processes such as semiconductor fabrication. In this paper, we propose a novel control decision structure for process manufacturing, designated as the 3D Optical Network-on-Chip (ONoC) multi-core system, based on the cloud-supported CPS concept. We first construct a task graph - which includes interconnected Virtual Machines (VMs) - to represent the interaction between industrial-physical processes and cyber states. Given the task graph, the control decision process becomes into the problem of the on-chip VM placement. We then design a highly reliable on-chip VM placement scheduling to find the optimal control strategy while guaranteeing the reliability of the 3D ONoC structure. The simulation results demonstrate that our scheme achieves a higher reliability of the 3D ONoC structure when we make the control decision for process manufacturing.
UR - http://www.scopus.com/inward/record.url?scp=85044934305&partnerID=8YFLogxK
U2 - 10.1109/COASE.2017.8256147
DO - 10.1109/COASE.2017.8256147
M3 - Conference contribution
AN - SCOPUS:85044934305
T3 - IEEE International Conference on Automation Science and Engineering
SP - 458
EP - 463
BT - 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017
PB - IEEE Computer Society
Y2 - 20 August 2017 through 23 August 2017
ER -