{"title":"在多跳网络中支持端到端硬时限的时空路由","authors":"Xin Liu, Lei Ying","doi":"10.1109/CISS.2016.7460512","DOIUrl":null,"url":null,"abstract":"We consider the problem of routing packets with end-to-end hard deadlines in communication networks. The problem is challenging due to the complex spatial-temporal correlation among flows with different deadlines. To tackle this challenging problem, we introduce the concepts of virtual links/routes to incorporate end-to-end deadline constraints into routing and propose a novel virtual queue architecture to guide the spatial-temporal routing which specifies where and when a packet should be routed. The proposed policy can support any periodic constant traffic within the network throughput region. Our simulations further show that the policy outperforms traditional policies such as backpressure and earliest-deadline-first (EDF) for general traffic flows.","PeriodicalId":346776,"journal":{"name":"2016 Annual Conference on Information Science and Systems (CISS)","volume":"55 1-2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Spatial-temporal routing for supporting end-to-end hard deadlines in multi-hop networks\",\"authors\":\"Xin Liu, Lei Ying\",\"doi\":\"10.1109/CISS.2016.7460512\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider the problem of routing packets with end-to-end hard deadlines in communication networks. The problem is challenging due to the complex spatial-temporal correlation among flows with different deadlines. To tackle this challenging problem, we introduce the concepts of virtual links/routes to incorporate end-to-end deadline constraints into routing and propose a novel virtual queue architecture to guide the spatial-temporal routing which specifies where and when a packet should be routed. The proposed policy can support any periodic constant traffic within the network throughput region. Our simulations further show that the policy outperforms traditional policies such as backpressure and earliest-deadline-first (EDF) for general traffic flows.\",\"PeriodicalId\":346776,\"journal\":{\"name\":\"2016 Annual Conference on Information Science and Systems (CISS)\",\"volume\":\"55 1-2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 Annual Conference on Information Science and Systems (CISS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISS.2016.7460512\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Annual Conference on Information Science and Systems (CISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISS.2016.7460512","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spatial-temporal routing for supporting end-to-end hard deadlines in multi-hop networks
We consider the problem of routing packets with end-to-end hard deadlines in communication networks. The problem is challenging due to the complex spatial-temporal correlation among flows with different deadlines. To tackle this challenging problem, we introduce the concepts of virtual links/routes to incorporate end-to-end deadline constraints into routing and propose a novel virtual queue architecture to guide the spatial-temporal routing which specifies where and when a packet should be routed. The proposed policy can support any periodic constant traffic within the network throughput region. Our simulations further show that the policy outperforms traditional policies such as backpressure and earliest-deadline-first (EDF) for general traffic flows.