Dynamic data driven application systems : research challenges and opportunities

• Main Authors: Fujimoto, Richard, Barjis, Joseph, Blasch, Erik, Cai, Wentong, Jin, Dong, Lee, Seunghan, Son, Young-Jun
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; DDDAS Paradigm; Feedback Control Loop
• Online Access: https://hdl.handle.net/10356/143565
• Institution: Nanyang Technological University

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.