{"title":"用IP时间戳推断路由器统计信息","authors":"Andrew D. Ferguson, Rodrigo Fonseca","doi":"10.1145/1921206.1921218","DOIUrl":null,"url":null,"abstract":"This paper describes our initial experiences with using the IP timestamp option to infer router statistics such as traffic shape and CPU load. By deducing this information through the use of an IP option, we can gather these statistics without administrative access to the router under study. This creates the potential for researchers to gather basic statistics from routers in wide-area networks which support this option.","PeriodicalId":325024,"journal":{"name":"CoNEXT '10 Student Workshop","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Inferring router statistics with IP timestamps\",\"authors\":\"Andrew D. Ferguson, Rodrigo Fonseca\",\"doi\":\"10.1145/1921206.1921218\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes our initial experiences with using the IP timestamp option to infer router statistics such as traffic shape and CPU load. By deducing this information through the use of an IP option, we can gather these statistics without administrative access to the router under study. This creates the potential for researchers to gather basic statistics from routers in wide-area networks which support this option.\",\"PeriodicalId\":325024,\"journal\":{\"name\":\"CoNEXT '10 Student Workshop\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CoNEXT '10 Student Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1921206.1921218\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CoNEXT '10 Student Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1921206.1921218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper describes our initial experiences with using the IP timestamp option to infer router statistics such as traffic shape and CPU load. By deducing this information through the use of an IP option, we can gather these statistics without administrative access to the router under study. This creates the potential for researchers to gather basic statistics from routers in wide-area networks which support this option.