NDLI: A Service-oriented Approach for the Parallelization of Data-intensive Algorithms in a Grid-enabled Cluster

Content Provider	IEEE Xplore Digital Library
Author	Chun-Wu Chen Roehm, U.
Copyright Year	2005
Description	Author affiliation: University of Sydney (Chun-Wu Chen)
Abstract	We investigate how clusters and grid computing can be combined with a service-oriented architecture. An important application is the parallelization of dataintensive algorithms as they are common in life sciences, such as the sequence alignment problem. We developed a prototype of a service-oriented parallel Basic Local Alignment Search Tool (BLAST) [1]. Using a standard grid middleware, the Globus Toolkit [19], we have distributed data and logic over several cluster nodes, all of which have access to a shared database. This allows us to parallelize BLAST by combining both functional and domain decomposition. In an experimental performance evaluation, we investigate the scalability and performance of the developed BLAST service. Our results show that dataintensive algorithms can be effectively parallelized using a service-oriented approach, offering linear scalability. At the same time, our approach facilitates the sharing of functionality through a programmatic interface and further offers plug-and-play extensibility.
Starting Page	1154
Ending Page	1154
File Size	369609
Page Count	1
File Format	PDF
ISBN	0769526578
DOI	10.1109/ICDE.2005.171
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-04-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Scalability Clustering algorithms Prototypes Computer architecture Grid computing Computer networks Australia Middleware Bioinformatics Distributed computing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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