Nothing Special   »   [go: up one dir, main page]

skip to main content
Skip header Section
Research Challenges in Modeling and Simulation for Engineering Complex SystemsAugust 2017
Publisher:
  • Springer Publishing Company, Incorporated
ISBN:978-3-319-58543-7
Published:19 August 2017
Pages:
119
Skip Bibliometrics Section
Reflects downloads up to 16 Dec 2024Bibliometrics
Skip Abstract Section
Abstract

This illuminating text/reference presents a review of the key aspects of the modeling and simulation (M&S) life cycle, and examines the challenges of M&S in different application areas. The authoritative work offers valuable perspectives on the future of research in M&S, and its role in engineering complex systems. Topics and features: reviews the challenges of M&S for urban infrastructure, healthcare delivery, automated vehicle manufacturing, deep space missions, and acquisitions enterprise; outlines research issues relating to conceptual modeling, covering the development of explicit and unambiguous models, communication and decision-making, and architecture and services; considers key computational challenges in the execution of simulation models, in order to best exploit emerging computing platforms and technologies; examines efforts to understand and manage uncertainty inherent in M&S processes, and how these can be unified under a consistent theoretical and philosophical foundation; discusses the reuse of models and simulations to accelerate the simulation model development process. This thought-provoking volume offers important insights for all researchers involved in modeling and simulation across the full spectrum of disciplines and applications, defining a common research agenda to support the entire M&S research community.

Cited By

  1. ACM
    Uhrmacher A, Frazier P, Hähnle R, Klügl F, Lorig F, Ludäscher B, Nenzi L, Ruiz-Martin C, Rumpe B, Szabo C, Wainer G and Wilsdorf P (2024). Context, Composition, Automation, and Communication: The C2AC Roadmap for Modeling and Simulation, ACM Transactions on Modeling and Computer Simulation, 34:4, (1-51), Online publication date: 31-Oct-2024.
  2. Miao Z, Yong P, Jiancheng Z and Quanjun Y (2022). Efficient Flow-Based Scheduling for Geo-Distributed Simulation Tasks in Collaborative Edge and Cloud Environments, IEEE Transactions on Parallel and Distributed Systems, 33:12, (3442-3459), Online publication date: 1-Dec-2022.
  3. Wilsdorf P, Haack F and Uhrmacher A Conceptual models in simulation studies Proceedings of the Winter Simulation Conference, (2353-2364)
  4. ACM
    Xiao J, Andelfinger P, Eckhoff D, Cai W and Knoll A (2019). A Survey on Agent-based Simulation Using Hardware Accelerators, ACM Computing Surveys, 51:6, (1-35), Online publication date: 27-Feb-2019.
  5. Fujimoto R, Barjis J, Blasch E, Cai W, Jin D, Lee S and Son Y Dynamic data driven application systems Proceedings of the 2018 Winter Simulation Conference, (664-678)
  6. ACM
    Pecher P, Crittenden J, Lu Z and Fujimoto R Granular Cloning Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation, (165-176)
  7. Ruscheinski A and Uhrmacher A Provenance in modeling and simulation studies Proceedings of the 2017 Winter Simulation Conference, (1-12)
  8. Fujimoto R, Carothers C, Ferscha A, Jefferson D, Loper M, Marathe M and Taylor S Computational challenges in modeling & simulation of complex systems Proceedings of the 2017 Winter Simulation Conference, (1-15)
Contributors
  • Georgia Institute of Technology
  • National Institute of Standards and Technology
  • MITRE Corporation
  • Purdue University
Please enable JavaScript to view thecomments powered by Disqus.

Recommendations