Philip Axer, Daniel Thiele, R. Ernst, Jonas Diemer
{"title":"利用形状上下文提高以太网AVB网络的性能界限","authors":"Philip Axer, Daniel Thiele, R. Ernst, Jonas Diemer","doi":"10.1145/2593069.2593136","DOIUrl":null,"url":null,"abstract":"New hard real-time Advanced Driver Assistance Systems such as the Collision-Avoidance System push the bandwidth requirements of the communication infrastructure to a new level. Controller Area Network (CAN) and FlexRay are reaching their limits. Ethernet-based automotive networks such as Ethernet AVB are capable of addressing these requirements. However, designing predictable Ethernet networks is more complex than the design of a traditional CAN bus. Formal real-time performance characteristics are key to a successful Ethernet integration. In this paper we present an improved Ethernet AVB performance analysis which exploits traffic-stream correlations. The results are significantly tighter compared to related work.","PeriodicalId":433816,"journal":{"name":"2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":"{\"title\":\"Exploiting shaper context to improve performance bounds of Ethernet AVB networks\",\"authors\":\"Philip Axer, Daniel Thiele, R. Ernst, Jonas Diemer\",\"doi\":\"10.1145/2593069.2593136\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"New hard real-time Advanced Driver Assistance Systems such as the Collision-Avoidance System push the bandwidth requirements of the communication infrastructure to a new level. Controller Area Network (CAN) and FlexRay are reaching their limits. Ethernet-based automotive networks such as Ethernet AVB are capable of addressing these requirements. However, designing predictable Ethernet networks is more complex than the design of a traditional CAN bus. Formal real-time performance characteristics are key to a successful Ethernet integration. In this paper we present an improved Ethernet AVB performance analysis which exploits traffic-stream correlations. The results are significantly tighter compared to related work.\",\"PeriodicalId\":433816,\"journal\":{\"name\":\"2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"31\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2593069.2593136\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2593069.2593136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exploiting shaper context to improve performance bounds of Ethernet AVB networks
New hard real-time Advanced Driver Assistance Systems such as the Collision-Avoidance System push the bandwidth requirements of the communication infrastructure to a new level. Controller Area Network (CAN) and FlexRay are reaching their limits. Ethernet-based automotive networks such as Ethernet AVB are capable of addressing these requirements. However, designing predictable Ethernet networks is more complex than the design of a traditional CAN bus. Formal real-time performance characteristics are key to a successful Ethernet integration. In this paper we present an improved Ethernet AVB performance analysis which exploits traffic-stream correlations. The results are significantly tighter compared to related work.