Workshop on Big Data Analytics in CPS: Enabling the Move from IoT to Real-Time Control

To be held on April 13, 2015 in conjunction with CPS Week 2015.

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 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, and 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.

Topics of discussion include:

• As we move from IoT sensing to real-time applications, the need for dependability and security emerges, what technologies are essential? What are he challenges? How do they approach scale?
• How do you integrate IoT and big data into cloud for CPS and get real-time control?
• Machine learning and other approaches for real-time data analytics in closed-loop CPS
• Physical/virtual testbeds for real-time closed-loop control
• Real-time meanings in various application spaces: aeronautics, medical, transportation, energy
• Opportunities for closing the loop at (or near) real-time in "smart city" cyber-physical systems
• Multi-system data analytics: how do we ensure data from multiple systems are input correctly and at right times?
• Integrating provenance into IoT and CPS
• Real-tiime sense making and decision making with big data, including (how does the system work when some components are providing data at different rates, and / or are off the grid?
• Human-in-the-loop (behavioral aspects of data analytics)
• Moving from IoT (sensing and agent end of CPS) to CPS (real-time control through big data analytics)

We invite broad participation from the academic research community, industry groups, national labs, and government organizations. Interested participants are asked to submit an extended abstract (1-2 pages, pdf format) addressing one or more of the discussion topics outlined above. Submitted abstracts are peer-reviewed by at last three reviewers. Accepted abstracts are invited for full paper submission (IES conference manusript format). The full papers will be submitted to IEEE Xplore, subject to final approval from the conference committee. Partial participant support may be available.

Paper submissions will be handled through the CPS Virtual Organization. Please go here to upload your pdf extended abstract: http://cps-vo.org/group/BigDataAnalyticsinCPS2015/submit-position-paper

Important Dates:

• Deadline for extended abstract submission is February 1, 2015
• Paper acceptance notification is February 21, 2015
• Full paper submission deadline is March 27, 2015
• Date of workshop: April 13, 2015

Program committee:

• John Baras (UMD)
• David Corman (NSF)
• Brad Martin (DHS)
• Tho Nguyen (NSF/AAAS)
• Vinay Pai (NIH)
• Janos Sztipanovits (Vanderbilt)

Inquiries about this workshop can be directed to Tho Nguyen at thnguyen@nsf.gov