Performance prediction of paging workloads using lightweight tracing
A trace of a workload's system calls can be obtained with minimal interference, and can be used to drive repeatable experiments to evaluate system configuration alternatives. Replaying system call traces alone sometimes leads to inaccurate predictions because paging, and access to memory-mapped...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | 8 pp. |
| container_title | |
| container_volume | |
| creator | Burton, A.N. Kelly, P.H.J. |
| description | A trace of a workload's system calls can be obtained with minimal interference, and can be used to drive repeatable experiments to evaluate system configuration alternatives. Replaying system call traces alone sometimes leads to inaccurate predictions because paging, and access to memory-mapped files, are not modelled. The paper extends tracing to handle such workloads. At trace capture time, the application's page-level virtual memory access is monitored. The size of the page access trace, and capture overheads, are reduced by excluding recently-accessed pages. This leads to a slight loss of accuracy. Using a suite of memory-intensive applications, we evaluate the capture overhead and measure the predictive accuracy of the approach. |
| doi_str_mv | 10.1109/IPDPS.2003.1213499 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_1213499</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1213499</ieee_id><sourcerecordid>1213499</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-c260f92ce3b9f5c9b5dec6e11eba33c7738eca362271ef7771df2f4b45554f0c3</originalsourceid><addsrcrecordid>eNotT0tOwzAUtARIlNILwMYXSHjPnxgvUcunUiUi0X3lOM_BkDaRE1Rxe1LRWcxoZjGaYewOIUcE-7AuV-VHLgBkjgKlsvaC3YAprEYrCrxkM9QSMgFGX7PFMHzBBKW1UjBjq5JS6NLeHTzxPlEd_Ri7A-8C710TDw0_dum77Vw98J_h5NvYfI5HOjEfk_NTdsuugmsHWpx1zrYvz9vlW7Z5f10vnzZZtDBmXhQQrPAkKxu0t5WuyReESJWT0hsjH8k7WQhhkIIxBusggqqmqVoF8HLO7v9rIxHt-hT3Lv3uzp_lH_YMTGY</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Performance prediction of paging workloads using lightweight tracing</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Burton, A.N. ; Kelly, P.H.J.</creator><creatorcontrib>Burton, A.N. ; Kelly, P.H.J.</creatorcontrib><description>A trace of a workload's system calls can be obtained with minimal interference, and can be used to drive repeatable experiments to evaluate system configuration alternatives. Replaying system call traces alone sometimes leads to inaccurate predictions because paging, and access to memory-mapped files, are not modelled. The paper extends tracing to handle such workloads. At trace capture time, the application's page-level virtual memory access is monitored. The size of the page access trace, and capture overheads, are reduced by excluding recently-accessed pages. This leads to a slight loss of accuracy. Using a suite of memory-intensive applications, we evaluate the capture overhead and measure the predictive accuracy of the approach.</description><identifier>ISSN: 1530-2075</identifier><identifier>ISBN: 0769519261</identifier><identifier>ISBN: 9780769519265</identifier><identifier>DOI: 10.1109/IPDPS.2003.1213499</identifier><language>eng</language><publisher>IEEE</publisher><subject>Accuracy ; Control systems ; Educational institutions ; Hardware ; Interference ; Monitoring ; Operating systems ; Predictive models ; Random access memory ; System performance</subject><ispartof>Proceedings International Parallel and Distributed Processing Symposium, 2003, p.8 pp.</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1213499$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2051,4035,4036,27904,54898</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1213499$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Burton, A.N.</creatorcontrib><creatorcontrib>Kelly, P.H.J.</creatorcontrib><title>Performance prediction of paging workloads using lightweight tracing</title><title>Proceedings International Parallel and Distributed Processing Symposium</title><addtitle>IPDPS</addtitle><description>A trace of a workload's system calls can be obtained with minimal interference, and can be used to drive repeatable experiments to evaluate system configuration alternatives. Replaying system call traces alone sometimes leads to inaccurate predictions because paging, and access to memory-mapped files, are not modelled. The paper extends tracing to handle such workloads. At trace capture time, the application's page-level virtual memory access is monitored. The size of the page access trace, and capture overheads, are reduced by excluding recently-accessed pages. This leads to a slight loss of accuracy. Using a suite of memory-intensive applications, we evaluate the capture overhead and measure the predictive accuracy of the approach.</description><subject>Accuracy</subject><subject>Control systems</subject><subject>Educational institutions</subject><subject>Hardware</subject><subject>Interference</subject><subject>Monitoring</subject><subject>Operating systems</subject><subject>Predictive models</subject><subject>Random access memory</subject><subject>System performance</subject><issn>1530-2075</issn><isbn>0769519261</isbn><isbn>9780769519265</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2003</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotT0tOwzAUtARIlNILwMYXSHjPnxgvUcunUiUi0X3lOM_BkDaRE1Rxe1LRWcxoZjGaYewOIUcE-7AuV-VHLgBkjgKlsvaC3YAprEYrCrxkM9QSMgFGX7PFMHzBBKW1UjBjq5JS6NLeHTzxPlEd_Ri7A-8C710TDw0_dum77Vw98J_h5NvYfI5HOjEfk_NTdsuugmsHWpx1zrYvz9vlW7Z5f10vnzZZtDBmXhQQrPAkKxu0t5WuyReESJWT0hsjH8k7WQhhkIIxBusggqqmqVoF8HLO7v9rIxHt-hT3Lv3uzp_lH_YMTGY</recordid><startdate>2003</startdate><enddate>2003</enddate><creator>Burton, A.N.</creator><creator>Kelly, P.H.J.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2003</creationdate><title>Performance prediction of paging workloads using lightweight tracing</title><author>Burton, A.N. ; Kelly, P.H.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-c260f92ce3b9f5c9b5dec6e11eba33c7738eca362271ef7771df2f4b45554f0c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Accuracy</topic><topic>Control systems</topic><topic>Educational institutions</topic><topic>Hardware</topic><topic>Interference</topic><topic>Monitoring</topic><topic>Operating systems</topic><topic>Predictive models</topic><topic>Random access memory</topic><topic>System performance</topic><toplevel>online_resources</toplevel><creatorcontrib>Burton, A.N.</creatorcontrib><creatorcontrib>Kelly, P.H.J.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Burton, A.N.</au><au>Kelly, P.H.J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Performance prediction of paging workloads using lightweight tracing</atitle><btitle>Proceedings International Parallel and Distributed Processing Symposium</btitle><stitle>IPDPS</stitle><date>2003</date><risdate>2003</risdate><spage>8 pp.</spage><pages>8 pp.-</pages><issn>1530-2075</issn><isbn>0769519261</isbn><isbn>9780769519265</isbn><abstract>A trace of a workload's system calls can be obtained with minimal interference, and can be used to drive repeatable experiments to evaluate system configuration alternatives. Replaying system call traces alone sometimes leads to inaccurate predictions because paging, and access to memory-mapped files, are not modelled. The paper extends tracing to handle such workloads. At trace capture time, the application's page-level virtual memory access is monitored. The size of the page access trace, and capture overheads, are reduced by excluding recently-accessed pages. This leads to a slight loss of accuracy. Using a suite of memory-intensive applications, we evaluate the capture overhead and measure the predictive accuracy of the approach.</abstract><pub>IEEE</pub><doi>10.1109/IPDPS.2003.1213499</doi></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1530-2075 |
| ispartof | Proceedings International Parallel and Distributed Processing Symposium, 2003, p.8 pp. |
| issn | 1530-2075 |
| language | eng |
| recordid | cdi_ieee_primary_1213499 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Accuracy Control systems Educational institutions Hardware Interference Monitoring Operating systems Predictive models Random access memory System performance |
| title | Performance prediction of paging workloads using lightweight tracing |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T07%3A22%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Performance%20prediction%20of%20paging%20workloads%20using%20lightweight%20tracing&rft.btitle=Proceedings%20International%20Parallel%20and%20Distributed%20Processing%20Symposium&rft.au=Burton,%20A.N.&rft.date=2003&rft.spage=8%20pp.&rft.pages=8%20pp.-&rft.issn=1530-2075&rft.isbn=0769519261&rft.isbn_list=9780769519265&rft_id=info:doi/10.1109/IPDPS.2003.1213499&rft_dat=%3Cieee_6IE%3E1213499%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=1213499&rfr_iscdi=true |