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31st IEEE Software Engineering Workshop (SEW 2007)
A Layered Java Application Framework for Supplying Mathematical Computing Power to the Distributed Environment
Columbia, MD, USA
March 06-March 08
ISBN: 0-7695-2862-7
ASCII Text
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Weidong Liao, Benjamin J. Koonse, "A Layered Java Application Framework for Supplying Mathematical Computing Power to the Distributed Environment," Software Engineering Workshop, Annual IEEE/NASA Goddard, pp. 279-283, 31st IEEE Software Engineering Workshop (SEW 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SEW.2007.84,
author = {Weidong Liao and Benjamin J. Koonse},
title = {A Layered Java Application Framework for Supplying Mathematical Computing Power to the Distributed Environment},
journal ={Software Engineering Workshop, Annual IEEE/NASA Goddard},
volume = {0},
year = {2007},
issn = {1550-6215},
pages = {279-283},
doi = {http://doi.ieeecomputersociety.org/10.1109/SEW.2007.84},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering Workshop, Annual IEEE/NASA Goddard
TI - A Layered Java Application Framework for Supplying Mathematical Computing Power to the Distributed Environment
SN - 1550-6215
SP279
EP283
A1 - Weidong Liao,
A1 - Benjamin J. Koonse,
PY - 2007
VL - 0
JA - Software Engineering Workshop, Annual IEEE/NASA Goddard
ER -
 
The JMEI (Java Mathematical Engine Interface) Frame- work is a layered Java application framework for providing mathematical computing services for the Internet/Web. The layered architecture of JMEI Framework follows Model- View-Controller pattern. The JMEI Framework architec- ture, JMEI API and JMEI drivers, the JMEI JSP Tag Li- brary, the JMEI AJAX library, and the practical uses of the JMEI Framework are discussed. The JMEI Framework can also be used in Grid Computing and other distributed envi- ronments. Keywords: Java, MVC, JSP Tag Libraries, AJAX, Mathematical Computation
Citation:
Weidong Liao, Benjamin J. Koonse, "A Layered Java Application Framework for Supplying Mathematical Computing Power to the Distributed Environment," sew, pp.279-283, 31st IEEE Software Engineering Workshop (SEW 2007), 2007
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