Response Time Analysis on Multicore ECUs With Shared Resources
As multiprocessor systems are increasingly used in automotive real-time environments, scheduling and synchronization analysis of these platforms receive growing attention. Upcoming multicore ECUs allow the integration of previously separated functionality for body electronics or sensor fusion onto a...
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| Veröffentlicht in: | IEEE transactions on industrial informatics 2009-11, Vol.5 (4), p.402-413 |
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| container_title | IEEE transactions on industrial informatics |
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| creator | Schliecker, S. Negrean, M. Ernst, R. |
| description | As multiprocessor systems are increasingly used in automotive real-time environments, scheduling and synchronization analysis of these platforms receive growing attention. Upcoming multicore ECUs allow the integration of previously separated functionality for body electronics or sensor fusion onto a single unit, and allow the parallelization of complex computations over multiple cores. The application of multiple CPUs turns an ECU into a highly integrated ldquonetworked systemrdquo microcosm, in which complex interdependencies can be observed due to the use of shared resources even in partitioned scheduling. To deliver predictable performance, resource arbitration protocols are required and have been proposed in literature. This paper presents an novel analytical approach to provide the worst-case response time for real-time tasks in multiprocessor systems with shared resources. The method supports realistic, event- or time-driven task activation schemes and allows to calculate tight bounds on the estimated system performance. |
| doi_str_mv | 10.1109/TII.2009.2032068 |
| format | Article |
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Upcoming multicore ECUs allow the integration of previously separated functionality for body electronics or sensor fusion onto a single unit, and allow the parallelization of complex computations over multiple cores. The application of multiple CPUs turns an ECU into a highly integrated ldquonetworked systemrdquo microcosm, in which complex interdependencies can be observed due to the use of shared resources even in partitioned scheduling. To deliver predictable performance, resource arbitration protocols are required and have been proposed in literature. This paper presents an novel analytical approach to provide the worst-case response time for real-time tasks in multiprocessor systems with shared resources. The method supports realistic, event- or time-driven task activation schemes and allows to calculate tight bounds on the estimated system performance.</description><identifier>ISSN: 1551-3203</identifier><identifier>EISSN: 1941-0050</identifier><identifier>DOI: 10.1109/TII.2009.2032068</identifier><identifier>CODEN: ITIICH</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Automotive engineering ; Computation ; Concurrent computing ; Delay ; Electronics ; Mathematical analysis ; Multicore ; Multicore processing ; Multiprocessing systems ; Multiprocessor ; multiprocessor priority ceiling protocol (MPCP) ; performance analysis ; Processor scheduling ; Protocols ; Real time ; Real time systems ; Response time ; Scheduling ; Sensor fusion ; shared resources ; System performance ; Tasks</subject><ispartof>IEEE transactions on industrial informatics, 2009-11, Vol.5 (4), p.402-413</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2009</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c252t-b23527a55a876c53a6bb72737b5d77be447b61c8914ce783a2f93ffbbb3d0de83</citedby><cites>FETCH-LOGICAL-c252t-b23527a55a876c53a6bb72737b5d77be447b61c8914ce783a2f93ffbbb3d0de83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5280285$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5280285$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Schliecker, S.</creatorcontrib><creatorcontrib>Negrean, M.</creatorcontrib><creatorcontrib>Ernst, R.</creatorcontrib><title>Response Time Analysis on Multicore ECUs With Shared Resources</title><title>IEEE transactions on industrial informatics</title><addtitle>TII</addtitle><description>As multiprocessor systems are increasingly used in automotive real-time environments, scheduling and synchronization analysis of these platforms receive growing attention. Upcoming multicore ECUs allow the integration of previously separated functionality for body electronics or sensor fusion onto a single unit, and allow the parallelization of complex computations over multiple cores. The application of multiple CPUs turns an ECU into a highly integrated ldquonetworked systemrdquo microcosm, in which complex interdependencies can be observed due to the use of shared resources even in partitioned scheduling. To deliver predictable performance, resource arbitration protocols are required and have been proposed in literature. This paper presents an novel analytical approach to provide the worst-case response time for real-time tasks in multiprocessor systems with shared resources. The method supports realistic, event- or time-driven task activation schemes and allows to calculate tight bounds on the estimated system performance.</description><subject>Automotive engineering</subject><subject>Computation</subject><subject>Concurrent computing</subject><subject>Delay</subject><subject>Electronics</subject><subject>Mathematical analysis</subject><subject>Multicore</subject><subject>Multicore processing</subject><subject>Multiprocessing systems</subject><subject>Multiprocessor</subject><subject>multiprocessor priority ceiling protocol (MPCP)</subject><subject>performance analysis</subject><subject>Processor scheduling</subject><subject>Protocols</subject><subject>Real time</subject><subject>Real time systems</subject><subject>Response time</subject><subject>Scheduling</subject><subject>Sensor fusion</subject><subject>shared resources</subject><subject>System performance</subject><subject>Tasks</subject><issn>1551-3203</issn><issn>1941-0050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE1LAzEQhoMoWKt3wUvw4mlrPjab5CJIqVqoCNriMSTZWbplu1uT3UP_vSktHrzMDMzzzseL0C0lE0qJflzO5xNGiE6BM1KoMzSiOqcZIYKcp1oImqUGv0RXMW4I4ZJwPUJPnxB3XRsBL-st4OfWNvtYR9y1-H1o-tp3AfBsuor4u-7X-GttA5Q4iboheIjX6KKyTYSbUx6j1ctsOX3LFh-v8-nzIvNMsD5zjAsmrRBWycILbgvnJJNcOlFK6SDPpSuoV5rmHqTillWaV5VzjpekBMXH6OE4dxe6nwFib7Z19NA0toVuiEZJQdKKXCfy_h-5Saemt6LRlPE0nOUJIkfIhy7GAJXZhXprw95QYg52mmSnOdhpTnYmyd1RUgPAHy6YIkwJ_gteZW8D</recordid><startdate>20091101</startdate><enddate>20091101</enddate><creator>Schliecker, S.</creator><creator>Negrean, M.</creator><creator>Ernst, R.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20091101</creationdate><title>Response Time Analysis on Multicore ECUs With Shared Resources</title><author>Schliecker, S. ; Negrean, M. ; Ernst, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c252t-b23527a55a876c53a6bb72737b5d77be447b61c8914ce783a2f93ffbbb3d0de83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Automotive engineering</topic><topic>Computation</topic><topic>Concurrent computing</topic><topic>Delay</topic><topic>Electronics</topic><topic>Mathematical analysis</topic><topic>Multicore</topic><topic>Multicore processing</topic><topic>Multiprocessing systems</topic><topic>Multiprocessor</topic><topic>multiprocessor priority ceiling protocol (MPCP)</topic><topic>performance analysis</topic><topic>Processor scheduling</topic><topic>Protocols</topic><topic>Real time</topic><topic>Real time systems</topic><topic>Response time</topic><topic>Scheduling</topic><topic>Sensor fusion</topic><topic>shared resources</topic><topic>System performance</topic><topic>Tasks</topic><toplevel>online_resources</toplevel><creatorcontrib>Schliecker, S.</creatorcontrib><creatorcontrib>Negrean, M.</creatorcontrib><creatorcontrib>Ernst, R.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEEE Electronic Library Online</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications 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><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on industrial informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Schliecker, S.</au><au>Negrean, M.</au><au>Ernst, R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Response Time Analysis on Multicore ECUs With Shared Resources</atitle><jtitle>IEEE transactions on industrial informatics</jtitle><stitle>TII</stitle><date>2009-11-01</date><risdate>2009</risdate><volume>5</volume><issue>4</issue><spage>402</spage><epage>413</epage><pages>402-413</pages><issn>1551-3203</issn><eissn>1941-0050</eissn><coden>ITIICH</coden><abstract>As multiprocessor systems are increasingly used in automotive real-time environments, scheduling and synchronization analysis of these platforms receive growing attention. Upcoming multicore ECUs allow the integration of previously separated functionality for body electronics or sensor fusion onto a single unit, and allow the parallelization of complex computations over multiple cores. The application of multiple CPUs turns an ECU into a highly integrated ldquonetworked systemrdquo microcosm, in which complex interdependencies can be observed due to the use of shared resources even in partitioned scheduling. To deliver predictable performance, resource arbitration protocols are required and have been proposed in literature. This paper presents an novel analytical approach to provide the worst-case response time for real-time tasks in multiprocessor systems with shared resources. The method supports realistic, event- or time-driven task activation schemes and allows to calculate tight bounds on the estimated system performance.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/TII.2009.2032068</doi><tpages>12</tpages></addata></record> |
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| identifier | ISSN: 1551-3203 |
| ispartof | IEEE transactions on industrial informatics, 2009-11, Vol.5 (4), p.402-413 |
| issn | 1551-3203 1941-0050 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_875035249 |
| source | IEEE Electronic Library Online |
| subjects | Automotive engineering Computation Concurrent computing Delay Electronics Mathematical analysis Multicore Multicore processing Multiprocessing systems Multiprocessor multiprocessor priority ceiling protocol (MPCP) performance analysis Processor scheduling Protocols Real time Real time systems Response time Scheduling Sensor fusion shared resources System performance Tasks |
| title | Response Time Analysis on Multicore ECUs With Shared Resources |
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