Requirements-driven database systems benchmark method
Benchmarks are the vital tools in the performance measurement, evaluation, and comparison of relational database management systems (RDBMS). Standard benchmarks such as the TP1, TPC-A, TPC-B, TPC-C, TPC-D, TPC-H, TPC-R, TPC-W, Wisconsin, and AS 3AP benchmarks have been used to assess the performance...
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Veröffentlicht in: | Decision Support Systems 2005, Vol.38 (4), p.629-648 |
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container_title | Decision Support Systems |
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creator | Seng, Jia-Lang Yao, S.Bing Hevner, Alan R. |
description | Benchmarks are the vital tools in the performance measurement, evaluation, and comparison of relational database management systems (RDBMS). Standard benchmarks such as the TP1, TPC-A, TPC-B, TPC-C, TPC-D, TPC-H, TPC-R, TPC-W, Wisconsin, and AS
3AP benchmarks have been used to assess the performance of relational database management systems. These benchmarks are synthetic and domain-specific. Test results from these benchmarks are estimates of possible system performance for certain pre-determined application types. Database system performance on actual database domain may vary significantly from those in the standard benchmarks. In this paper, we describe a new benchmark method that is computer-assisted and developed from the perspective of the user's requirements. |
doi_str_mv | 10.1016/j.dss.2003.06.002 |
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3AP benchmarks have been used to assess the performance of relational database management systems. These benchmarks are synthetic and domain-specific. Test results from these benchmarks are estimates of possible system performance for certain pre-determined application types. Database system performance on actual database domain may vary significantly from those in the standard benchmarks. In this paper, we describe a new benchmark method that is computer-assisted and developed from the perspective of the user's requirements.</description><identifier>ISSN: 0167-9236</identifier><identifier>EISSN: 1873-5797</identifier><identifier>DOI: 10.1016/j.dss.2003.06.002</identifier><identifier>CODEN: DSSYDK</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Applied sciences ; Benchmarks ; Computer science; control theory; systems ; Data base management systems ; Database benchmark ; Exact sciences and technology ; Information systems. Data bases ; Memory organisation. Data processing ; Performance measurement and evaluation ; Relational data bases ; Relational database management systems ; Requirements analysis ; Software ; Studies ; Synthetic benchmark ; Workload characterization ; Workload model</subject><ispartof>Decision Support Systems, 2005, Vol.38 (4), p.629-648</ispartof><rights>2003 Elsevier B.V.</rights><rights>2005 INIST-CNRS</rights><rights>Copyright Elsevier Sequoia S.A. Jan 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c383t-866d3a0b6cd3d2054c640f0c62e8f134e1d535757d10af991395f8bcc5d1ba9d3</citedby><cites>FETCH-LOGICAL-c383t-866d3a0b6cd3d2054c640f0c62e8f134e1d535757d10af991395f8bcc5d1ba9d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0167923603001350$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,4010,27900,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16429639$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Seng, Jia-Lang</creatorcontrib><creatorcontrib>Yao, S.Bing</creatorcontrib><creatorcontrib>Hevner, Alan R.</creatorcontrib><title>Requirements-driven database systems benchmark method</title><title>Decision Support Systems</title><description>Benchmarks are the vital tools in the performance measurement, evaluation, and comparison of relational database management systems (RDBMS). Standard benchmarks such as the TP1, TPC-A, TPC-B, TPC-C, TPC-D, TPC-H, TPC-R, TPC-W, Wisconsin, and AS
3AP benchmarks have been used to assess the performance of relational database management systems. These benchmarks are synthetic and domain-specific. Test results from these benchmarks are estimates of possible system performance for certain pre-determined application types. Database system performance on actual database domain may vary significantly from those in the standard benchmarks. In this paper, we describe a new benchmark method that is computer-assisted and developed from the perspective of the user's requirements.</description><subject>Applied sciences</subject><subject>Benchmarks</subject><subject>Computer science; control theory; systems</subject><subject>Data base management systems</subject><subject>Database benchmark</subject><subject>Exact sciences and technology</subject><subject>Information systems. Data bases</subject><subject>Memory organisation. Data processing</subject><subject>Performance measurement and evaluation</subject><subject>Relational data bases</subject><subject>Relational database management systems</subject><subject>Requirements analysis</subject><subject>Software</subject><subject>Studies</subject><subject>Synthetic benchmark</subject><subject>Workload characterization</subject><subject>Workload model</subject><issn>0167-9236</issn><issn>1873-5797</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNp9kE1Lw0AQhhdRsFZ_gLcg6C1xNptsEjxJ8QsKguh52exOaGI-2p2k0H_vlhYED57m8sw77zyMXXOIOHB530SWKIoBRAQyAohP2IznmQjTrMhO2cwzWVjEQp6zC6IGQIoslzOWfuBmqh122I8UWldvsQ-sHnWpCQPa0YgdBSX2ZtVp9x10OK4Ge8nOKt0SXh3nnH09P30uXsPl-8vb4nEZGpGLMcyltEJDKY0VNoY0MTKBCoyMMa-4SJDbVKRZmlkOuioKLoq0yktjUstLXVgxZ3eH3LUbNhPSqLqaDLat7nGYSMWF5InIYw_e_AGbYXK976ZikBI4ZImH-AEybiByWKm1q_1XO8VB7S2qRnmLam9RgVTeot-5PQZrMrqtnO5NTb-LMvEdROG5hwOHXse2RqfI1N4aWi_XjMoO9T9XfgBQkIZu</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Seng, Jia-Lang</creator><creator>Yao, S.Bing</creator><creator>Hevner, Alan R.</creator><general>Elsevier B.V</general><general>Elsevier Science</general><general>Elsevier Sequoia S.A</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>2005</creationdate><title>Requirements-driven database systems benchmark method</title><author>Seng, Jia-Lang ; Yao, S.Bing ; Hevner, Alan R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c383t-866d3a0b6cd3d2054c640f0c62e8f134e1d535757d10af991395f8bcc5d1ba9d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Applied sciences</topic><topic>Benchmarks</topic><topic>Computer science; control theory; systems</topic><topic>Data base management systems</topic><topic>Database benchmark</topic><topic>Exact sciences and technology</topic><topic>Information systems. Data bases</topic><topic>Memory organisation. Data processing</topic><topic>Performance measurement and evaluation</topic><topic>Relational data bases</topic><topic>Relational database management systems</topic><topic>Requirements analysis</topic><topic>Software</topic><topic>Studies</topic><topic>Synthetic benchmark</topic><topic>Workload characterization</topic><topic>Workload model</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Seng, Jia-Lang</creatorcontrib><creatorcontrib>Yao, S.Bing</creatorcontrib><creatorcontrib>Hevner, Alan R.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Decision Support Systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Seng, Jia-Lang</au><au>Yao, S.Bing</au><au>Hevner, Alan R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Requirements-driven database systems benchmark method</atitle><jtitle>Decision Support Systems</jtitle><date>2005</date><risdate>2005</risdate><volume>38</volume><issue>4</issue><spage>629</spage><epage>648</epage><pages>629-648</pages><issn>0167-9236</issn><eissn>1873-5797</eissn><coden>DSSYDK</coden><abstract>Benchmarks are the vital tools in the performance measurement, evaluation, and comparison of relational database management systems (RDBMS). Standard benchmarks such as the TP1, TPC-A, TPC-B, TPC-C, TPC-D, TPC-H, TPC-R, TPC-W, Wisconsin, and AS
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subjects | Applied sciences Benchmarks Computer science control theory systems Data base management systems Database benchmark Exact sciences and technology Information systems. Data bases Memory organisation. Data processing Performance measurement and evaluation Relational data bases Relational database management systems Requirements analysis Software Studies Synthetic benchmark Workload characterization Workload model |
title | Requirements-driven database systems benchmark method |
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