DocumentCode
471648
Title
Pluggable Application Server Framework
Author
Wang, H. ; Tan, F. ; Sabnis, A. ; Fu, X. ; Volarath, P. ; Harrison, R.
Author_Institution
Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA
fYear
2006
fDate
Aug. 30 2006-Sept. 3 2006
Firstpage
2021
Lastpage
2024
Abstract
Building a system based on variants of disparate individual components/programs is usually a challenging task. The components/programs are not designed to communicate with each other but the whole system construction does require a seamless collaboration among them. In this paper, targeting at protein structure prediction, a pluggable application server framework is presented. The framework is capable of combining various existing programs into an efficient unit and the design is devoted to provide a model which is able to integrate heterogeneous components/programs into the system quickly without modifying their codes. Based on the model, different components can be plugged into the system with easy configuration, which would lead to a self-configurable and adaptive system. A protein structure prediction server implementation was developed by applying the design model and the real implementation emphasizes the efficiency and simplicity of the system construction. The method and model are generic and can be applied to other system design as well
Keywords
biochemistry; biology computing; molecular biophysics; proteins; heterogeneous component integration; pluggable application server; protein structure prediction; Application software; Biology computing; Buildings; Cancer; Cities and towns; Humans; Predictive models; Protein engineering; Switches; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location
New York, NY
ISSN
1557-170X
Print_ISBN
1-4244-0032-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2006.259692
Filename
4462181
Link To Document