Dynamic data driven application systems: Research challenges and opportunities

Richard Fujimoto, Erik Blasch, Dong Jin, Joseph Barjis, Wentong Cai, Seunghan Lee, Young Jun Son

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationWSC 2018 - 2018 Winter Simulation Conference
Subtitle of host publicationSimulation for a Noble Cause
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages664-678
Number of pages15
ISBN (Electronic)9781538665725
DOIs
StatePublished - Jul 2 2018
Event2018 Winter Simulation Conference, WSC 2018 - Gothenburg, Sweden
Duration: Dec 9 2018Dec 12 2018

Publication series

NameProceedings - Winter Simulation Conference
Volume2018-December
ISSN (Print)0891-7736

Conference

Conference2018 Winter Simulation Conference, WSC 2018
Country/TerritorySweden
CityGothenburg
Period12/9/1812/12/18

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

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