Back to Search Start Over

MEDIC: A MDO-Enabling Distributed Computing Framework.

Authors :
Lipo Wang
Yaochu Jin
Shenyi Jin
Kwangsik Kim
Karpjoo Jeong
Jaewoo Lee
Jonghwa Kim
Hoyon Hwang
Hae-Gook Suh
Source :
Fuzzy Systems & Knowledge Discovery; 2005, p1092-1101, 10p
Publication Year :
2005

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540283126
Database :
Supplemental Index
Journal :
Fuzzy Systems & Knowledge Discovery
Publication Type :
Book
Accession number :
32965192
Full Text :
https://doi.org/10.1007/11539506_135