Abstract
Cyber-Physical Systems (CPS) integrate embedded computers that control physical processes. Application domains for CPS may be found in intelligent buildings, healthcare, transportation and factory automation, among many others. Typically, they are based on low profile computing elements, such as sensors and actuators that must communicate to carry out complex tasks. They must address certain issues such as managing available resources and service redundancy, as well as solving heterogeneity. In particular, managing communication issues can be relatively complex. In this scenario, middleware technologies can help developers in the design of state-of-the-art CPS. This work describes the design principles of CPS that require cooperation. More specifically, it presents a generic family of logical information exchange and cooperation topologies capable of adapting dynamically to changes in the environment. These topologies may be implemented on top of several middleware specifications as a means for managing distributed resources and service redundancy of CPS at run-time.
Highlights
The term “Cyber-Physical Systems” (CPS) was coined around 2006 by researchers from different disciplines, mainly real-time systems, network communications, hybrid systems and control systems
In [29, 30] the authors present the FTT-CORBA middleware architecture aimed at synchronizing the task activations of a distributed system according to a plan that may be changed at run-time; tasks are wrapped as CORBA methods activated by a central node, the Orchestrator, over a LAN
This paper proposes the integration of some state information exchange mechanisms in Cyber Physical Systems (CPS)
Summary
The term “Cyber-Physical Systems” (CPS) was coined around 2006 by researchers from different disciplines, mainly real-time systems, network communications, hybrid systems and control systems (see Fig. 1). During the last years distributed embedded systems have increased in size They have shifted from centralized small applications, based on real-time operating systems capable of handling multitasking and basic operations locally, to large computer-controlled systems, such as those found in nation-wide power grids, to supply power to billions of devices simultaneously or world-wide communication networks [3, 4]. One of the main features of DDS is that it provides several mechanisms to set and manage a broad number of QoS parameters in real-time applications These middleware standards allow building CPS applications on top of the well extended TCP/IP stack.
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