Parallel architectures for searching the MEDLINE database

Rajendra V. Boppana; Suresh Chalasani; Badgett Bob; Jacqueline A. Pugh

Parallel architectures for searching the MEDLINE database

Rajendra V. Boppana, Suresh Chalasani, Badgett Bob, Jacqueline A. Pugh

Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The MEDLINE database, an online archival of medical research publications, is extensively used by physicians, clinicians and other medical researchers for literature search and information on prior case studies. The size of MEDLINE database is over 40GB. The PubMed is an implementation of MEDLINE and provides basic search capabilities freely via the Internet. The initial search often tends to return excessive irrelevant pointers; so researchers often need to conduct additional searches to refine the search data. In this paper, we will investigate a parallel architecture for searching the MEDLINE database, which is unique compared to the existing MEDLINE implementations. The proposed architecture will implement MEDLINE on a cluster of Personal Computers (PCs). This architecture (i) allows for refinement of searches, (ii) reduces the search time for the users, and (iii) increases the availability of the system. We present design guidelines to select the cluster configuration and an analytical model to predict performance improvements.

Original language	English (US)
Title of host publication	Association for Information Systems - 12th Americas Conference On Information Systems, AMCIS 2006
Pages	2597-2605
Number of pages	9
State	Published - Dec 1 2006
Event	12th Americas Conference on Information Systems, AMCIS 2006 - Acapulco, Mexico Duration: Aug 4 2006 → Aug 6 2006

Publication series

Name	Association for Information Systems - 12th Americas Conference On Information Systems, AMCIS 2006
Volume	4

Other

Other	12th Americas Conference on Information Systems, AMCIS 2006
Country	Mexico
City	Acapulco
Period	8/4/06 → 8/6/06

Keywords

Cluster of workstations
MEDLINE
Parallel processing
Pubmed
Search algorithms

ASJC Scopus subject areas

Computer Science Applications
Computer Networks and Communications
Library and Information Sciences
Information Systems

Access to Document

Fingerprint Dive into the research topics of 'Parallel architectures for searching the MEDLINE database'. Together they form a unique fingerprint.

Cite this

Boppana, R. V., Chalasani, S., Bob, B., & Pugh, J. A. (2006). Parallel architectures for searching the MEDLINE database. In Association for Information Systems - 12th Americas Conference On Information Systems, AMCIS 2006 (pp. 2597-2605). (Association for Information Systems - 12th Americas Conference On Information Systems, AMCIS 2006; Vol. 4).

Parallel architectures for searching the MEDLINE database. / Boppana, Rajendra V.; Chalasani, Suresh; Bob, Badgett; Pugh, Jacqueline A.

Association for Information Systems - 12th Americas Conference On Information Systems, AMCIS 2006. 2006. p. 2597-2605 (Association for Information Systems - 12th Americas Conference On Information Systems, AMCIS 2006; Vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Boppana, RV, Chalasani, S, Bob, B & Pugh, JA 2006, Parallel architectures for searching the MEDLINE database. in Association for Information Systems - 12th Americas Conference On Information Systems, AMCIS 2006. Association for Information Systems - 12th Americas Conference On Information Systems, AMCIS 2006, vol. 4, pp. 2597-2605, 12th Americas Conference on Information Systems, AMCIS 2006, Acapulco, Mexico, 8/4/06.

@inproceedings{34dd7a2fb6614ad18e6d401fc943dc37,

title = "Parallel architectures for searching the MEDLINE database",

abstract = "The MEDLINE database, an online archival of medical research publications, is extensively used by physicians, clinicians and other medical researchers for literature search and information on prior case studies. The size of MEDLINE database is over 40GB. The PubMed is an implementation of MEDLINE and provides basic search capabilities freely via the Internet. The initial search often tends to return excessive irrelevant pointers; so researchers often need to conduct additional searches to refine the search data. In this paper, we will investigate a parallel architecture for searching the MEDLINE database, which is unique compared to the existing MEDLINE implementations. The proposed architecture will implement MEDLINE on a cluster of Personal Computers (PCs). This architecture (i) allows for refinement of searches, (ii) reduces the search time for the users, and (iii) increases the availability of the system. We present design guidelines to select the cluster configuration and an analytical model to predict performance improvements.",

keywords = "Cluster of workstations, MEDLINE, Parallel processing, Pubmed, Search algorithms",

author = "Boppana, {Rajendra V.} and Suresh Chalasani and Badgett Bob and Pugh, {Jacqueline A.}",

year = "2006",

month = dec,

day = "1",

language = "English (US)",

isbn = "9781604236262",

series = "Association for Information Systems - 12th Americas Conference On Information Systems, AMCIS 2006",

pages = "2597--2605",

booktitle = "Association for Information Systems - 12th Americas Conference On Information Systems, AMCIS 2006",

note = "12th Americas Conference on Information Systems, AMCIS 2006 ; Conference date: 04-08-2006 Through 06-08-2006",

}

TY - GEN

T1 - Parallel architectures for searching the MEDLINE database

AU - Boppana, Rajendra V.

AU - Chalasani, Suresh

AU - Bob, Badgett

AU - Pugh, Jacqueline A.

PY - 2006/12/1

Y1 - 2006/12/1

N2 - The MEDLINE database, an online archival of medical research publications, is extensively used by physicians, clinicians and other medical researchers for literature search and information on prior case studies. The size of MEDLINE database is over 40GB. The PubMed is an implementation of MEDLINE and provides basic search capabilities freely via the Internet. The initial search often tends to return excessive irrelevant pointers; so researchers often need to conduct additional searches to refine the search data. In this paper, we will investigate a parallel architecture for searching the MEDLINE database, which is unique compared to the existing MEDLINE implementations. The proposed architecture will implement MEDLINE on a cluster of Personal Computers (PCs). This architecture (i) allows for refinement of searches, (ii) reduces the search time for the users, and (iii) increases the availability of the system. We present design guidelines to select the cluster configuration and an analytical model to predict performance improvements.

AB - The MEDLINE database, an online archival of medical research publications, is extensively used by physicians, clinicians and other medical researchers for literature search and information on prior case studies. The size of MEDLINE database is over 40GB. The PubMed is an implementation of MEDLINE and provides basic search capabilities freely via the Internet. The initial search often tends to return excessive irrelevant pointers; so researchers often need to conduct additional searches to refine the search data. In this paper, we will investigate a parallel architecture for searching the MEDLINE database, which is unique compared to the existing MEDLINE implementations. The proposed architecture will implement MEDLINE on a cluster of Personal Computers (PCs). This architecture (i) allows for refinement of searches, (ii) reduces the search time for the users, and (iii) increases the availability of the system. We present design guidelines to select the cluster configuration and an analytical model to predict performance improvements.

KW - Cluster of workstations

KW - MEDLINE

KW - Parallel processing

KW - Pubmed

KW - Search algorithms

UR - http://www.scopus.com/inward/record.url?scp=84870159085&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84870159085&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84870159085

SN - 9781604236262

T3 - Association for Information Systems - 12th Americas Conference On Information Systems, AMCIS 2006

SP - 2597

EP - 2605

BT - Association for Information Systems - 12th Americas Conference On Information Systems, AMCIS 2006

T2 - 12th Americas Conference on Information Systems, AMCIS 2006

Y2 - 4 August 2006 through 6 August 2006

ER -