Cyber-physical systems research to date has focused on the development of synergy and tight coupling of the physical and computational processes, vis-a-vis, the control of the system. However, this tight coupling is also enabling the accumulation of large amounts of data, which can be analyzed, interpreted, and appropriately leveraged. When multiple systems are interacting with each other, and closed-loop control is implemented, real-time analysis of the large amount of cross-device data becomes a critical requirement. As we evolve towards the Internet of Things, we see the deployment of multitude of wireless sensors and agents spanning many application domains including: environmental, healthcare, avionics components in the latest commercial airplane, smart interconnected automobiles and trucks, and smart buildings. These produce massive amounts of multisystem data that need to be sifted through to facilitate reasonably accurate decision-making and control.Cyber-physical systems research to date has focused on the development of synergy and tight coupling of the physical and computational processes, vis-a-vis, the control of the system. However, this tight coupling is also enabling the accumulation of large amounts of data, which can be analyzed, interpreted, and appropriately leveraged. When multiple systems are interacting with each other, and closed-loop control is implemented, real-time analysis of the large amount of cross-device data becomes a critical requirement. As we evolve towards the Internet of Things, we see the deployment of a multitude of wireless sensors and agents spanning many application domains including: environmental, healthcare, avionics components in the latest commercial airplane, smart interconnected automobiles and trucks, and smart buildings. These produce massive amounts of multi-system data that need to be sifted through to facilitate reasonably accurate decision-making and control. We are looking to convene the community for a workshop to explore challenges and opportunities in moving from IoT to real-time control and CPS. This workshop focuses on the current state of big data real time analytics in CPS (in medical, transportation (automotive, aerospace, rail), energy and other fields), evaluates the promises and shortcomings, and evaluates what needs to be done to enable big data real-time analytics in closed-loop cyber-physical systems.
04月13日
2015
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