{"title":"用于实时应用的以太网仿真","authors":"O. Dolejs, Z. Hanzálek","doi":"10.1109/ICIT.2003.1290801","DOIUrl":null,"url":null,"abstract":"This article addresses the problem of data delivery probability estimation for RTPS (real-time publish-subscribe), built on the top of the UDP/IP protocol using Ethernet. Ethernet in general is not deterministic due to its media access control (CSMA/CD) and its behaviour under transient overload is not sufficient for any real-time application. On the other hand, when the applications have predictable and bounded number of requests, behaviour of Ethernet is \"nearly\" real-time (very low probability of delayed data delivery). Ethernet is very attractive for the automation area due to its availability and low implementation cost. This article uses a simulation approach since it offers more flexibility, especially for large networks. The simulation results are compared to analytical ones.","PeriodicalId":193510,"journal":{"name":"IEEE International Conference on Industrial Technology, 2003","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Simulation of Ethernet for real-time applications\",\"authors\":\"O. Dolejs, Z. Hanzálek\",\"doi\":\"10.1109/ICIT.2003.1290801\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article addresses the problem of data delivery probability estimation for RTPS (real-time publish-subscribe), built on the top of the UDP/IP protocol using Ethernet. Ethernet in general is not deterministic due to its media access control (CSMA/CD) and its behaviour under transient overload is not sufficient for any real-time application. On the other hand, when the applications have predictable and bounded number of requests, behaviour of Ethernet is \\\"nearly\\\" real-time (very low probability of delayed data delivery). Ethernet is very attractive for the automation area due to its availability and low implementation cost. This article uses a simulation approach since it offers more flexibility, especially for large networks. The simulation results are compared to analytical ones.\",\"PeriodicalId\":193510,\"journal\":{\"name\":\"IEEE International Conference on Industrial Technology, 2003\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Industrial Technology, 2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIT.2003.1290801\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Industrial Technology, 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2003.1290801","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This article addresses the problem of data delivery probability estimation for RTPS (real-time publish-subscribe), built on the top of the UDP/IP protocol using Ethernet. Ethernet in general is not deterministic due to its media access control (CSMA/CD) and its behaviour under transient overload is not sufficient for any real-time application. On the other hand, when the applications have predictable and bounded number of requests, behaviour of Ethernet is "nearly" real-time (very low probability of delayed data delivery). Ethernet is very attractive for the automation area due to its availability and low implementation cost. This article uses a simulation approach since it offers more flexibility, especially for large networks. The simulation results are compared to analytical ones.