Performance Assurance via Software Rejuvenation: Monitoring, Statistics and Algorithms
We present three algorithms for detecting the need for software rejuvenation by monitoring the changing values of a customer-affecting performance metric, such as response time. Applying these algorithms can improve the values of this customer-affecting metric by triggering rejuvenation before perfo...
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 | 444 |
|---|---|
| container_issue | |
| container_start_page | 435 |
| container_title | |
| container_volume | |
| creator | Avritzer, A. Bondi, A. Grottket, M. Trivedi, K.S. Weyuker, E.J. |
| description | We present three algorithms for detecting the need for software rejuvenation by monitoring the changing values of a customer-affecting performance metric, such as response time. Applying these algorithms can improve the values of this customer-affecting metric by triggering rejuvenation before performance degradation becomes severe. The algorithms differ in the way they gather and use sample values to arrive at a rejuvenation decision. Their effectiveness is evaluated for different sets of control parameters, including sample size, using simulation. The results show that applying the algorithms with suitable choices of control parameters can significantly improve system performance as measured by the response time |
| doi_str_mv | 10.1109/DSN.2006.58 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_1633532</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1633532</ieee_id><sourcerecordid>1633532</sourcerecordid><originalsourceid>FETCH-LOGICAL-c283t-c7351d7ac05831b68e41773e0de3f67a973d80d7aab4f20db86bb428cd6453cf3</originalsourceid><addsrcrecordid>eNotjElPwzAUhC0WiVJ64sjFP4CUZ79441aVVSqLKHCtHMcprtoE2W4R_54ImMuMvhkNIacMxoyBubiaP445gBwLvUcGnAldoOFqnxyDkkZwCYodkAETCAVobY7IKKUV9EJTMjQD8v7sY9PFjW2dp5OUtvE37YKl867JXzZ6-uJX251vbQ5de0kfujbkLoZ2eU7nuYcpB5eobWs6WS_7In9s0gk5bOw6-dG_D8nbzfXr9K6YPd3eTyezwnGNuXAKBauVdSA0skpqXzKl0EPtsZHKGoW1hn5gq7LhUFdaVlXJtatlKdA1OCRnf7_Be7_4jGFj4_eCSUSBHH8Atb5S1w</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Performance Assurance via Software Rejuvenation: Monitoring, Statistics and Algorithms</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Avritzer, A. ; Bondi, A. ; Grottket, M. ; Trivedi, K.S. ; Weyuker, E.J.</creator><creatorcontrib>Avritzer, A. ; Bondi, A. ; Grottket, M. ; Trivedi, K.S. ; Weyuker, E.J.</creatorcontrib><description>We present three algorithms for detecting the need for software rejuvenation by monitoring the changing values of a customer-affecting performance metric, such as response time. Applying these algorithms can improve the values of this customer-affecting metric by triggering rejuvenation before performance degradation becomes severe. The algorithms differ in the way they gather and use sample values to arrive at a rejuvenation decision. Their effectiveness is evaluated for different sets of control parameters, including sample size, using simulation. The results show that applying the algorithms with suitable choices of control parameters can significantly improve system performance as measured by the response time</description><identifier>ISSN: 1530-0889</identifier><identifier>ISBN: 0769526071</identifier><identifier>ISBN: 9780769526072</identifier><identifier>EISSN: 2158-3927</identifier><identifier>DOI: 10.1109/DSN.2006.58</identifier><language>eng</language><publisher>IEEE</publisher><subject>Control systems ; Degradation ; Delay ; Measurement ; Monitoring ; Size control ; Software algorithms ; Software performance ; Statistics ; System performance</subject><ispartof>International Conference on Dependable Systems and Networks (DSN'06), 2006, p.435-444</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c283t-c7351d7ac05831b68e41773e0de3f67a973d80d7aab4f20db86bb428cd6453cf3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1633532$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1633532$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Avritzer, A.</creatorcontrib><creatorcontrib>Bondi, A.</creatorcontrib><creatorcontrib>Grottket, M.</creatorcontrib><creatorcontrib>Trivedi, K.S.</creatorcontrib><creatorcontrib>Weyuker, E.J.</creatorcontrib><title>Performance Assurance via Software Rejuvenation: Monitoring, Statistics and Algorithms</title><title>International Conference on Dependable Systems and Networks (DSN'06)</title><addtitle>DSN</addtitle><description>We present three algorithms for detecting the need for software rejuvenation by monitoring the changing values of a customer-affecting performance metric, such as response time. Applying these algorithms can improve the values of this customer-affecting metric by triggering rejuvenation before performance degradation becomes severe. The algorithms differ in the way they gather and use sample values to arrive at a rejuvenation decision. Their effectiveness is evaluated for different sets of control parameters, including sample size, using simulation. The results show that applying the algorithms with suitable choices of control parameters can significantly improve system performance as measured by the response time</description><subject>Control systems</subject><subject>Degradation</subject><subject>Delay</subject><subject>Measurement</subject><subject>Monitoring</subject><subject>Size control</subject><subject>Software algorithms</subject><subject>Software performance</subject><subject>Statistics</subject><subject>System performance</subject><issn>1530-0889</issn><issn>2158-3927</issn><isbn>0769526071</isbn><isbn>9780769526072</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjElPwzAUhC0WiVJ64sjFP4CUZ79441aVVSqLKHCtHMcprtoE2W4R_54ImMuMvhkNIacMxoyBubiaP445gBwLvUcGnAldoOFqnxyDkkZwCYodkAETCAVobY7IKKUV9EJTMjQD8v7sY9PFjW2dp5OUtvE37YKl867JXzZ6-uJX251vbQ5de0kfujbkLoZ2eU7nuYcpB5eobWs6WS_7In9s0gk5bOw6-dG_D8nbzfXr9K6YPd3eTyezwnGNuXAKBauVdSA0skpqXzKl0EPtsZHKGoW1hn5gq7LhUFdaVlXJtatlKdA1OCRnf7_Be7_4jGFj4_eCSUSBHH8Atb5S1w</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Avritzer, A.</creator><creator>Bondi, A.</creator><creator>Grottket, M.</creator><creator>Trivedi, K.S.</creator><creator>Weyuker, E.J.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2006</creationdate><title>Performance Assurance via Software Rejuvenation: Monitoring, Statistics and Algorithms</title><author>Avritzer, A. ; Bondi, A. ; Grottket, M. ; Trivedi, K.S. ; Weyuker, E.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c283t-c7351d7ac05831b68e41773e0de3f67a973d80d7aab4f20db86bb428cd6453cf3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Control systems</topic><topic>Degradation</topic><topic>Delay</topic><topic>Measurement</topic><topic>Monitoring</topic><topic>Size control</topic><topic>Software algorithms</topic><topic>Software performance</topic><topic>Statistics</topic><topic>System performance</topic><toplevel>online_resources</toplevel><creatorcontrib>Avritzer, A.</creatorcontrib><creatorcontrib>Bondi, A.</creatorcontrib><creatorcontrib>Grottket, M.</creatorcontrib><creatorcontrib>Trivedi, K.S.</creatorcontrib><creatorcontrib>Weyuker, E.J.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Avritzer, A.</au><au>Bondi, A.</au><au>Grottket, M.</au><au>Trivedi, K.S.</au><au>Weyuker, E.J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Performance Assurance via Software Rejuvenation: Monitoring, Statistics and Algorithms</atitle><btitle>International Conference on Dependable Systems and Networks (DSN'06)</btitle><stitle>DSN</stitle><date>2006</date><risdate>2006</risdate><spage>435</spage><epage>444</epage><pages>435-444</pages><issn>1530-0889</issn><eissn>2158-3927</eissn><isbn>0769526071</isbn><isbn>9780769526072</isbn><abstract>We present three algorithms for detecting the need for software rejuvenation by monitoring the changing values of a customer-affecting performance metric, such as response time. Applying these algorithms can improve the values of this customer-affecting metric by triggering rejuvenation before performance degradation becomes severe. The algorithms differ in the way they gather and use sample values to arrive at a rejuvenation decision. Their effectiveness is evaluated for different sets of control parameters, including sample size, using simulation. The results show that applying the algorithms with suitable choices of control parameters can significantly improve system performance as measured by the response time</abstract><pub>IEEE</pub><doi>10.1109/DSN.2006.58</doi><tpages>10</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1530-0889 |
| ispartof | International Conference on Dependable Systems and Networks (DSN'06), 2006, p.435-444 |
| issn | 1530-0889 2158-3927 |
| language | eng |
| recordid | cdi_ieee_primary_1633532 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Control systems Degradation Delay Measurement Monitoring Size control Software algorithms Software performance Statistics System performance |
| title | Performance Assurance via Software Rejuvenation: Monitoring, Statistics and Algorithms |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T00%3A58%3A29IST&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%20Assurance%20via%20Software%20Rejuvenation:%20Monitoring,%20Statistics%20and%20Algorithms&rft.btitle=International%20Conference%20on%20Dependable%20Systems%20and%20Networks%20(DSN'06)&rft.au=Avritzer,%20A.&rft.date=2006&rft.spage=435&rft.epage=444&rft.pages=435-444&rft.issn=1530-0889&rft.eissn=2158-3927&rft.isbn=0769526071&rft.isbn_list=9780769526072&rft_id=info:doi/10.1109/DSN.2006.58&rft_dat=%3Cieee_6IE%3E1633532%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=1633532&rfr_iscdi=true |