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