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2022 | OriginalPaper | Chapter

39. Microservice-Based System for Environmental Science Software Applications

Authors : Vinh Le, Connor Scully Allison, Mitchell Martinez, Sergiu M. Dascalu, Frederick C. Harris,, Scotty D. Strachan, Eric Fritzinger

Published in: ITNG 2022 19th International Conference on Information Technology-New Generations

Publisher: Springer International Publishing

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Abstract

The chapter introduces MESA, a microservice-based system designed to support environmental science software applications. It addresses the limitations of monolithic systems, such as slow querying speeds and management issues, by providing a distributed support system built with a microservice architecture. MESA was implemented to support the Nevada Research Data Center (NRDC) and its data hub, demonstrating its practical applicability in real-world environmental research projects. The paper evaluates MESA against similar systems, highlighting its advantages in functionality and flexibility. Notably, MESA does not require a complete system refactoring, making it a viable solution for small to midsize environmental research projects. The chapter also discusses MESA's software specifications, use cases, and future work, including plans to enhance machine learning and high-performance computing capabilities. Overall, MESA offers a robust and adaptable platform for environmental research projects, bridging the gap between outdated systems and expensive new ones.
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Metadata
Title
Microservice-Based System for Environmental Science Software Applications
Authors
Vinh Le
Connor Scully Allison
Mitchell Martinez
Sergiu M. Dascalu
Frederick C. Harris,
Scotty D. Strachan
Eric Fritzinger
Copyright Year
2022
Book
ITNG 2022 19th International Conference on Information Technology-New Generations

Print ISBN: 978-3-030-97651-4

Electronic ISBN: 978-3-030-97652-1

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-030-97652-1_39

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