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On the Scalability of Multi-Criteria Protein Structure Comparison in the Grid

On the Scalability of Multi-Criteria Protein Structure Comparison in the Grid

Authors :
Gianluigi Folino
Azhar Ali Shah
Natalio Krasnogor
Source :
Mehran University Research Journal of Engineering and Technology, Vol 32, Iss 1, Pp 31-38 (2013)
Publication Year :
2013
Publisher :
Mehran University of Engineering and Technology, 2013.

Abstract

MC-PSC (Multi-Criteria Protein Structure Comparison) is one of the GCAs (Grand Challenge Applications) in the field of structural proteomics. The solution of the MC-PSC grand challenge requires the use of distributed algorithms, architectures and environments. This paper is aimed at the analysis of the scalability of our newly developed distributed algorithm for MC-PSC in the grid environment. The scalability in the grid environment indicates the capacity of the distributed algorithm to effectively utilize an increasing number of processors across multiple sites. The results of the experiments conducted on the UK's NGS (National Grid Service) infrastructure are reported in terms of speedup, efficiency and cross-site communication overhead.

Details

Language :
English
ISSN :
02547821 and 24137219
Volume :
32
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Mehran University Research Journal of Engineering and Technology
Publication Type :
Academic Journal
Accession number :
edsdoj.26b1ff251a7a41c99cf455ef0f497f59
Document Type :
article