{"title":"基于最坏情况执行时间分析的测量视频子集选择","authors":"Sitsofe Wheeler, I. Bate, M. Bartlett","doi":"10.1109/SIES.2011.5953664","DOIUrl":null,"url":null,"abstract":"Worst Case Execution Time (WCET) has traditionally approached problems with small, well defined input spaces. For processes with a large input space (such as video) existing techniques struggle to produce a meaningful result. This work investigates a technique that reduces the input space while still preserving execution time properties to allow subsequent WCET analysis to be more effective.","PeriodicalId":391594,"journal":{"name":"2011 6th IEEE International Symposium on Industrial and Embedded Systems","volume":" 885","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Video subset selection for measurement based Worst Case Execution Time analysis\",\"authors\":\"Sitsofe Wheeler, I. Bate, M. Bartlett\",\"doi\":\"10.1109/SIES.2011.5953664\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Worst Case Execution Time (WCET) has traditionally approached problems with small, well defined input spaces. For processes with a large input space (such as video) existing techniques struggle to produce a meaningful result. This work investigates a technique that reduces the input space while still preserving execution time properties to allow subsequent WCET analysis to be more effective.\",\"PeriodicalId\":391594,\"journal\":{\"name\":\"2011 6th IEEE International Symposium on Industrial and Embedded Systems\",\"volume\":\" 885\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 6th IEEE International Symposium on Industrial and Embedded Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIES.2011.5953664\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 6th IEEE International Symposium on Industrial and Embedded Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIES.2011.5953664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Video subset selection for measurement based Worst Case Execution Time analysis
Worst Case Execution Time (WCET) has traditionally approached problems with small, well defined input spaces. For processes with a large input space (such as video) existing techniques struggle to produce a meaningful result. This work investigates a technique that reduces the input space while still preserving execution time properties to allow subsequent WCET analysis to be more effective.
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