Orchestrating the Cognitive Internet of Things

Chung-Sheng Li, Frederica Darema, Verena Kantere, Victor Chang

Abstract

The introduction of pervasive and ubiquitous instrumentation within Internet of Things (IoT) leads to unprecedented real-time visibility of the power grid, traffic, transportation, water, oil & gas. Interconnecting those distinct physical, people, and business worlds through ubiquitous instrumentation, even though still in its embryonic stage, has the potential to create intelligent IoT solutions that are much greener, more efficient, comfortable, and safer. An essential new direction to materialize this potential is to develop comprehensive models of such systems dynamically interacting with the instrumentation in a feed-back control loop. We describe here opportunities in applying cognitive computing on interconnected and instrumented worlds (CIoT) and call out the system-of-systems trend on interconnecting these distinct but interdependent worlds, and methods for advanced understanding, analysis, and real-time decision support capabilities with the accuracy of full-scale models.

References

  1. Proceedings: The art and interdisciplinary programs of SIGGRAPH'96. ACM, 1996.
  2. Bazilevs, Yuri et al, “Toward a computational steering framework for large-scale composite structures based on continually and dynamically injected sensor data”, Procedia ComputerScience, 9 (2012) 1149--1158.
  3. Boyer, Stuart A. SCADA: supervisory control and data acquisition. International Society of Automation, 2009.
  4. Cannon, David (2011). ITIL Service Strategy 2011 Edition. The Stationery Office.
  5. Celik, Nurcin, et al. “DDDAMS-based Real-time Assessment and Control of Electric-Microgrids, ICCS2011 Proceedings (2011).
  6. Chesbrough, Henry. "Business model innovation: opportunities and barriers." Long range planning 43.2 (2010): 354-363.
  7. Darema, F., “Dynamic Data Driven Applications Systems (DDDAS)” NSF Workshop 2000, and 2006 and 2010 Workshopes (www.1dddas.org); “ Dynamic Data Driven Applications Systems (DDDAS): New Capabilities for Application Simulations and Measurements”, ICCS05Proceedings (2005).
  8. Darema, F. , Grid Computing and Beyond: The Context of Dynamic Data Driven Applications Systems, Proceedings of the IEEE, Special Issue on Grid Computing, March 2005 (invited paper).
  9. Ding, Yu, et al, “Dynamic Data-Driven Fault Diagnosis of Wind Turbine Systems” ICCS2007 Proceedings (2007).
  10. Gallagher, Sean. "How IBM's Deep Thunder delivers hyper-local forecasts 3-1/2 days out." Ars Technica (March 14, 2012).
  11. Hoffmann, C. et al “DDDAS For Autonomic Interconnected Systems: The National Energy Infrastructure”, ICCS2007 Proceedings (2007).
  12. Korobenko, A. Bazilevs, Y. et al“Structural Mechanics Modeling and FSI Simulation of Wind Turbines”, Mathematical Models and Methods in Applied Sciences, 23 (2013) 249-272.
  13. Letz, S., et al. "Functional verification of the IBM system z10 processor chipset." (2009).
  14. McCalley James, et al “Integrated Decision Algorithms for Auto-Steered Electric Transmission System Asset Management”, ICCS2007 Proceedings (2007).
  15. Min, Hokey, and Gengui Zhou. "Supply chain modeling: past, present and future." Computers & industrial engineering 43.1 (2002): 231-249.
  16. Son, Young Jun, et al, DDDAS-based Multi-fidelity Simulation Framework for Supply Chain Systems, IIE Transactions on Operations Engineering, (2010),
  17. Willcox, Karen, et al “ Multifidelity DDDAS Methods with Application to a Self-Aware Aerospace Vehicle, ICCS2014 Proceedings (2014).
  18. Wu, Qihui. et al, “Cognitive Internet of Things: A New Paradigm beyond Connection”, Internet of Things Journal, V.1. IEEE (2014).
  19. Zaidi, Syed, et al, Cognitive Internet of Things: A Unified Perspective, First International Internet of Things Summit(2014).
Download


Paper Citation


in Harvard Style

Li C., Darema F., Kantere V. and Chang V. (2016). Orchestrating the Cognitive Internet of Things . In Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: IoTBD, ISBN 978-989-758-183-0, pages 96-101. DOI: 10.5220/0005945700960101


in Bibtex Style

@conference{iotbd16,
author={Chung-Sheng Li and Frederica Darema and Verena Kantere and Victor Chang},
title={Orchestrating the Cognitive Internet of Things},
booktitle={Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: IoTBD,},
year={2016},
pages={96-101},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005945700960101},
isbn={978-989-758-183-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: IoTBD,
TI - Orchestrating the Cognitive Internet of Things
SN - 978-989-758-183-0
AU - Li C.
AU - Darema F.
AU - Kantere V.
AU - Chang V.
PY - 2016
SP - 96
EP - 101
DO - 10.5220/0005945700960101