TY - GEN
T1 - Dynamic data driven application systems
T2 - 2018 Winter Simulation Conference, WSC 2018
AU - Fujimoto, Richard
AU - Blasch, Erik
AU - Jin, Dong
AU - Barjis, Joseph
AU - Cai, Wentong
AU - Lee, Seunghan
AU - Son, Young Jun
N1 - Funding Information:
Research by the authors was supported by the folloingwgan sr: AtFOSR/DDDAS FA9550-17-1-022 (Fujimoto), YIP FA9550-17-1-0240 (Jin), AFOSR/DDDFAA9550-17S-1-0075 (So. n)
Funding Information:
DONG JIN is an Assistant Proessorfin the Compuer Stcience Department at the Illinois Institute of Technology. He obtained his Ph.D. in Electrical andCo mputer Engneeiring from the University of Illinois at Urbana-Champaig. Hnisresearch interests include simulation modeling and analysis, trustworthy cyber-physical critical infrastructures, sotwafre-defined networking, and cyber-security. He is a recipient of the Air Force Office of Scientific Research (AFOSR) Young Investigator Program (YIP) award. His email address is d.ojin@niit.edug.
Publisher Copyright:
© 2018 IEEE
PY - 2019/1/31
Y1 - 2019/1/31
N2 - Dynamic Data Driven Applications Systems (DDDAS) is a paradigm where data is dynamically integrated into an executing application, and in reverse, the application dynamically steers the measurement process in a feedback control loop. Since its inception in 2000, the DDDAS concept has been successfully applied to a host of application areas. New technologies are emerging such as big data, the Internet of Things, and cloud/edge computing. With these trends DDDAS is poised to have large-scale impacts in areas such as smart cities, manufacturing, health care, and security, to name a few. Each author describes their views concerning the important research challenges facing the DDDAS paradigm and opportunities for impact in the years ahead.
AB - Dynamic Data Driven Applications Systems (DDDAS) is a paradigm where data is dynamically integrated into an executing application, and in reverse, the application dynamically steers the measurement process in a feedback control loop. Since its inception in 2000, the DDDAS concept has been successfully applied to a host of application areas. New technologies are emerging such as big data, the Internet of Things, and cloud/edge computing. With these trends DDDAS is poised to have large-scale impacts in areas such as smart cities, manufacturing, health care, and security, to name a few. Each author describes their views concerning the important research challenges facing the DDDAS paradigm and opportunities for impact in the years ahead.
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U2 - 10.1109/WSC.2018.8632379
DO - 10.1109/WSC.2018.8632379
M3 - Conference contribution
AN - SCOPUS:85062598351
T3 - Proceedings - Winter Simulation Conference
SP - 664
EP - 678
BT - WSC 2018 - 2018 Winter Simulation Conference
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 December 2018 through 12 December 2018
ER -