Abstract
Computing and communication technologies have advanced rapidly in the last decade. M&S has not yet fully realized the potential and opportunities afforded by technologies such as mobile and ubiquitous computing, big data, the Internet of Things, cloud computing, and modern supercomputer architectures. This has kept M&S from achieving its fullest potential in modeling complex systems, or being widely deployed in new contexts such as online management of operational systems. Research advances are needed to enable M&S technologies to address issues such as the complexity and scale of the systems that need to be modeled today. This chapter outlines key computational challenges associated with maximally exploiting emerging computing platforms ranging from handheld mobile computers to massively parallel supercomputers, use of models and simulations in interacting with the real world, challenges associated with managing a “plethora of models” that exists today, and synergies between M&S and “big data.”
The original version of this chapter was revised: Contributor name and corresponding affiliation have been included. The erratum to this chapter is available at https://doi.org/10.1007/978-3-319-58544-4_7
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Carothers, C. et al. (2017). Computational Challenges in Modeling and Simulation. In: Fujimoto, R., Bock, C., Chen, W., Page, E., Panchal, J. (eds) Research Challenges in Modeling and Simulation for Engineering Complex Systems. Simulation Foundations, Methods and Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-58544-4_4
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