Unified Addressing Algorithm for Tasks in Cloud Control Systems

With the rapid development of cloud computing and control theory, a new paradigm of networked control systems named cloud control systems has been proposed to satisfy the requirements of large-scale and complex applications. It is critical to manage large-scale tasks with personalized needs on the large number of heterogeneous devices. However, current TCP/IP-based addressing approach does not consider the runtime constraints of tasks, resulting highly concurrent service search, and communication between tasks will become the system bottleneck. In this paper, we propose a task property encoding method which takes multi-dimensional properties into consideration. Based on the proposed encoding method, we design a uniform addressing method for tasks in the system. Finally, we experimentally demonstrate the effectiveness of task property encoding, and the unified addressing method for tasks is more effective than other methods in the case of high task concurrency.