{"title":"基于多源端到端测量的路由拓扑识别","authors":"Guangli Tian, Wandong Cai","doi":"10.1109/APWCS.2010.88","DOIUrl":null,"url":null,"abstract":"This paper focuses on the multiple source, multiple destination network tomography problem. The main contributions are as follows. First, the performance stable delay difference measured by the back-to-back packet pair with different size is used firstly as path metrics to identify the topology. Second, this paper proposes a novel probing meathead to infer the hop count of the shared path for each 1-by-2 component and each 2-by-1 component. Third, with the novel methodology, we firstly resolve the key problem of routing topology identification by multiple sources network tomography. The accuracy and efficiency of methodology is validated by the simulation results.","PeriodicalId":354322,"journal":{"name":"2010 Asia-Pacific Conference on Wearable Computing Systems","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Routing Topology Identification Based on Multiple Sources End-to-End Measurements\",\"authors\":\"Guangli Tian, Wandong Cai\",\"doi\":\"10.1109/APWCS.2010.88\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on the multiple source, multiple destination network tomography problem. The main contributions are as follows. First, the performance stable delay difference measured by the back-to-back packet pair with different size is used firstly as path metrics to identify the topology. Second, this paper proposes a novel probing meathead to infer the hop count of the shared path for each 1-by-2 component and each 2-by-1 component. Third, with the novel methodology, we firstly resolve the key problem of routing topology identification by multiple sources network tomography. The accuracy and efficiency of methodology is validated by the simulation results.\",\"PeriodicalId\":354322,\"journal\":{\"name\":\"2010 Asia-Pacific Conference on Wearable Computing Systems\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Asia-Pacific Conference on Wearable Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APWCS.2010.88\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Asia-Pacific Conference on Wearable Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APWCS.2010.88","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Routing Topology Identification Based on Multiple Sources End-to-End Measurements
This paper focuses on the multiple source, multiple destination network tomography problem. The main contributions are as follows. First, the performance stable delay difference measured by the back-to-back packet pair with different size is used firstly as path metrics to identify the topology. Second, this paper proposes a novel probing meathead to infer the hop count of the shared path for each 1-by-2 component and each 2-by-1 component. Third, with the novel methodology, we firstly resolve the key problem of routing topology identification by multiple sources network tomography. The accuracy and efficiency of methodology is validated by the simulation results.