MEDIC: A MDO-Enabling Distributed Computing Framework (original) (raw)

Abstract

A MDO framework is a collaborative distributed computing environment that facilitates the integration of multi-disciplinary design efforts to achieve the global optimum result among local mutually-conflicting optimum results on heterogeneous platforms throughout the entire design process. The challenge for the MDO framework is to support the integration of legacy software and data, workflow management, heterogeneous computing, parallel computing and fault tolerance at the same time. In this paper, we present a Linda tuple space-based distributed computing framework optimized for MDO which is called MEDIC. In the design of MEDIC, we classify required technologies and propose an architecture in which those technologies can be independently implememnted at different layers. The Linda tuple space allows us to make the MEDIC architecture simple because it provides a flexible computing platform where various distributed and parallel computing models are easily implemented in the same way, multi-agents are easily supported, and effective fault tolerance techniques are available. A prototype system of MEDIC has been developed and applied for building an integrated design environment for super-high temperature vacuum furnaces called iFUD.

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Authors and Affiliations

1. Center for Advanced E-System Integration Technology, Konkuk Univ., Seoul, Korea
   Shenyi Jin, Kwangsik Kim, Karpjoo Jeong, Jaewoo Lee, Jonghwa Kim & Hae-Gook Suh
2. Department of Internet and Multimedia Engineering, Konkuk Univ., Seoul, Korea
   Shenyi Jin, Kwangsik Kim & Karpjoo Jeong
3. Department of Aerospace Engineering, Konkuk Univ., Seoul, Korea
   Jaewoo Lee
4. Department of Industrial Engineering, Konkuk Univ., Seoul, Korea
   Jonghwa Kim
5. Department of Advanced Technology Fusion, Konkuk Univ., Seoul, Korea
   Hae-Gook Suh
6. Department of Aerospace Engineering, Sejong Univ., Seoul, Korea
   Hoyon Hwang

Authors

1. Shenyi Jin
2. Kwangsik Kim
3. Karpjoo Jeong
4. Jaewoo Lee
5. Jonghwa Kim
6. Hoyon Hwang
7. Hae-Gook Suh

Editor information

Editors and Affiliations

1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore
   Lipo Wang
2. Honda Research Institute Europe GmbH, Offenbach/Main, Germany
   Yaochu Jin

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© 2005 Springer-Verlag Berlin Heidelberg

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Jin, S. et al. (2005). MEDIC: A MDO-Enabling Distributed Computing Framework. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506\_135

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• DOI: https://doi.org/10.1007/11539506\_135
• Publisher Name: Springer, Berlin, Heidelberg
• Print ISBN: 978-3-540-28312-6
• Online ISBN: 978-3-540-31830-9
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