DocumentCode :
2461662
Title :
Jeeva: Enterprise Grid Enabled Web Portal for Protein Secondary Structure Prediction
Author :
Jin, Chao ; Gubbi, Jayavardhana ; Buyya, Rajkumar ; Palaniswami, Marimuthu
Author_Institution :
Dept. of Comput. Sci. & Software Eng., Univ. of Melbourne, Melbourne, VIC
fYear :
2008
fDate :
14-17 Dec. 2008
Firstpage :
141
Lastpage :
147
Abstract :
This paper presents a grid portal for protein secondary structure prediction developed by using services of Aneka, a .NET-based enterprise grid technology. The portal is used by research scientists to discover new prediction structures in a parallel manner. An SVM (support vector machine)-based prediction algorithm is used with 64 sample protein sequences as a case study to demonstrate the potential of enterprise grids.
Keywords :
biology computing; grid computing; molecular biophysics; network operating systems; portals; proteins; sequences; support vector machines; .NET-based enterprise grid technology; Aneka; Jeeva; enterprise grid enabled Web portal; enterprise grids; grid portal; protein secondary structure prediction; protein sequences; support vector machine-based prediction algorithm; Chaos; Computer science; Distributed computing; Environmental management; Grid computing; History; Portals; Prediction algorithms; Protein engineering; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computing and Communications, 2008. ADCOM 2008. 16th International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-2962-2
Electronic_ISBN :
978-1-4244-2963-9
Type :
conf
DOI :
10.1109/ADCOM.2008.4760440
Filename :
4760440
Link To Document :
بازگشت