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Julia and Singularity for High Performance Computing Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Sustainability, Big Data, and Local Community: A Simulation Case Study of a Growing Higher Education Institution

Author : Anatoly Kurkovsky

Published in: Advances in Parallel & Distributed Processing, and Applications

Publisher: Springer International Publishing

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Abstract

Higher education institutions are core elements in the sustainable development paradigm because they prepare the future decision-makers of the local, national, or international societies. At the same time, many colleges and universities just declare their sustainability support and rarely use a quantitative approach to analyze/manage this area. It is happening because of sustainable development paradigm complexity, reusability problems of already created tools/models, and some methodological difficulties to use already available big data. This paper introduces an approach where we use simulation as a united methodological platform to combine sustainability, big data, and local community needs for particular numerical analysis. Within the simulation case study, we analyze the transportation system as a part of the sustainability of a young fast-growing higher education institution, the USA.

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previous chapter A Simulation-Optimization Technique for Service Level Analysis in Conjunction with Reorder Point Estimation and Lead-Time Consideration: A Case Study in Sea Port
next chapter Vehicle Test Rig Modeling and Simulation
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Metadata
Title
Sustainability, Big Data, and Local Community: A Simulation Case Study of a Growing Higher Education Institution
Author
Anatoly Kurkovsky
Copyright Year
2021
Book
Advances in Parallel & Distributed Processing, and Applications

Print ISBN: 978-3-030-69983-3

Electronic ISBN: 978-3-030-69984-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-69984-0_62