TY - JOUR
T1 - Distributed point-to-point routing method for tasks in cloud control systems
AU - Wang, Guan
AU - Zhan, Yufeng
AU - Xia, Yuanqing
AU - Yan, Liping
N1 - Publisher Copyright:
© 1990-2011 Beijing Institute of Aerospace Information.
PY - 2022/8/1
Y1 - 2022/8/1
N2 - With the rapid development of cloud computing and control theory, a new paradigm of networked control systems called cloud control systems is proposed to meet the requirements of large-scale and complex applications. Currently, cloud control systems are mainly built by using a centralized architecture. The centralized system is overly dependent on the central control plane and has huge challenges in large-scale heterogeneous node systems. In this paper, we propose a decentralized approach to establish cloud control systems by proposing a distributed point-to-point task routing method. A considerable number of tasks in the system will not rely on the central plane and will be directly routed to the target devices through the point-to-point routing method, which improves the horizontal scalability of the cloud control system. The point-to-point routing method directly gives a unique address to every task, making inter-task communication more efficient in a complex heterogeneous and busy cloud control systems. Finally, we experimentally demonstrate that the distributed point-to-point task routing approach is compatible against the state-of-the-art central systems in large-scale task situations.
AB - With the rapid development of cloud computing and control theory, a new paradigm of networked control systems called cloud control systems is proposed to meet the requirements of large-scale and complex applications. Currently, cloud control systems are mainly built by using a centralized architecture. The centralized system is overly dependent on the central control plane and has huge challenges in large-scale heterogeneous node systems. In this paper, we propose a decentralized approach to establish cloud control systems by proposing a distributed point-to-point task routing method. A considerable number of tasks in the system will not rely on the central plane and will be directly routed to the target devices through the point-to-point routing method, which improves the horizontal scalability of the cloud control system. The point-to-point routing method directly gives a unique address to every task, making inter-task communication more efficient in a complex heterogeneous and busy cloud control systems. Finally, we experimentally demonstrate that the distributed point-to-point task routing approach is compatible against the state-of-the-art central systems in large-scale task situations.
KW - cloud control system
KW - cloud-edge-device cooperation
KW - task routing
UR - http://www.scopus.com/inward/record.url?scp=85138476772&partnerID=8YFLogxK
U2 - 10.23919/JSEE.2022.000079
DO - 10.23919/JSEE.2022.000079
M3 - Article
AN - SCOPUS:85138476772
SN - 1671-1793
VL - 33
SP - 792
EP - 804
JO - Journal of Systems Engineering and Electronics
JF - Journal of Systems Engineering and Electronics
IS - 4
ER -