{"title":"IP任播的纵向研究","authors":"Danilo Cicalese, D. Rossi","doi":"10.1145/3211852.3211855","DOIUrl":null,"url":null,"abstract":"IP anycast is a commonly used technique to share the load of a variety of global services. For more than one year, leveraging a lightweight technique for IP anycast detection, enumeration and geolocation, we perform regular IP monthly censuses. This paper provides a brief longitudinal study of the anycast ecosystem, and we additionally make all our datasets (raw measurements from PlanetLab and RIPE Atlas), results (monthly geolocated anycast replicas for all IP/24) and code available to the community.","PeriodicalId":403234,"journal":{"name":"Comput. Commun. Rev.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"A longitudinal study of IP Anycast\",\"authors\":\"Danilo Cicalese, D. Rossi\",\"doi\":\"10.1145/3211852.3211855\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"IP anycast is a commonly used technique to share the load of a variety of global services. For more than one year, leveraging a lightweight technique for IP anycast detection, enumeration and geolocation, we perform regular IP monthly censuses. This paper provides a brief longitudinal study of the anycast ecosystem, and we additionally make all our datasets (raw measurements from PlanetLab and RIPE Atlas), results (monthly geolocated anycast replicas for all IP/24) and code available to the community.\",\"PeriodicalId\":403234,\"journal\":{\"name\":\"Comput. Commun. Rev.\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Comput. Commun. Rev.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3211852.3211855\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Comput. Commun. Rev.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3211852.3211855","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
IP anycast is a commonly used technique to share the load of a variety of global services. For more than one year, leveraging a lightweight technique for IP anycast detection, enumeration and geolocation, we perform regular IP monthly censuses. This paper provides a brief longitudinal study of the anycast ecosystem, and we additionally make all our datasets (raw measurements from PlanetLab and RIPE Atlas), results (monthly geolocated anycast replicas for all IP/24) and code available to the community.