A. Acharya, Xiping Wang, Charles P. Wright, N. Banerjee, Bikram Sengupta
{"title":"使用消息分类对SIP基础设施进行实时监控","authors":"A. Acharya, Xiping Wang, Charles P. Wright, N. Banerjee, Bikram Sengupta","doi":"10.1145/1269880.1269892","DOIUrl":null,"url":null,"abstract":"Session Initiation Protocol (SIP) is a control-plane protocol for multiple services such as VoIP, Instant Messaging and Presence, and in addition, is key to IP Multimedia Subsystem (IMS). A SIP message consists of plain-text headers and their corresponding values, which are used to route the message between one or more endpoints, resulting in a media session. These headers and values are often transformed/re-written at intermediate SIP servers (\"proxies\"). It is important to monitor the flow and transformation of such messages in real-time, for functional testing of a SIP overlay network containing malfunctioning or ill-configured SIP entities, or for efficient run-time SIP network operation, including problem determination and load balancing. Towards that end, we have designed and implemented a programmable in-kernel Linux SIP message classification engine. The classifier can be configured to intercept incoming and outgoing SIP messages from a server, extract appropriate message meta-data including distinguishing header-value pairs and their transformations, and forward the same to a monitoring engine. The engine collates this information from different classifiers across the network, to infer the state of a SIP call on individual servers on the call path as well as aggregated call-state.","PeriodicalId":216113,"journal":{"name":"Annual ACM Workshop on Mining Network Data","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Real-time monitoring of SIP infrastructure using message classification\",\"authors\":\"A. Acharya, Xiping Wang, Charles P. Wright, N. Banerjee, Bikram Sengupta\",\"doi\":\"10.1145/1269880.1269892\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Session Initiation Protocol (SIP) is a control-plane protocol for multiple services such as VoIP, Instant Messaging and Presence, and in addition, is key to IP Multimedia Subsystem (IMS). A SIP message consists of plain-text headers and their corresponding values, which are used to route the message between one or more endpoints, resulting in a media session. These headers and values are often transformed/re-written at intermediate SIP servers (\\\"proxies\\\"). It is important to monitor the flow and transformation of such messages in real-time, for functional testing of a SIP overlay network containing malfunctioning or ill-configured SIP entities, or for efficient run-time SIP network operation, including problem determination and load balancing. Towards that end, we have designed and implemented a programmable in-kernel Linux SIP message classification engine. The classifier can be configured to intercept incoming and outgoing SIP messages from a server, extract appropriate message meta-data including distinguishing header-value pairs and their transformations, and forward the same to a monitoring engine. The engine collates this information from different classifiers across the network, to infer the state of a SIP call on individual servers on the call path as well as aggregated call-state.\",\"PeriodicalId\":216113,\"journal\":{\"name\":\"Annual ACM Workshop on Mining Network Data\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annual ACM Workshop on Mining Network Data\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1269880.1269892\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual ACM Workshop on Mining Network Data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1269880.1269892","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-time monitoring of SIP infrastructure using message classification
Session Initiation Protocol (SIP) is a control-plane protocol for multiple services such as VoIP, Instant Messaging and Presence, and in addition, is key to IP Multimedia Subsystem (IMS). A SIP message consists of plain-text headers and their corresponding values, which are used to route the message between one or more endpoints, resulting in a media session. These headers and values are often transformed/re-written at intermediate SIP servers ("proxies"). It is important to monitor the flow and transformation of such messages in real-time, for functional testing of a SIP overlay network containing malfunctioning or ill-configured SIP entities, or for efficient run-time SIP network operation, including problem determination and load balancing. Towards that end, we have designed and implemented a programmable in-kernel Linux SIP message classification engine. The classifier can be configured to intercept incoming and outgoing SIP messages from a server, extract appropriate message meta-data including distinguishing header-value pairs and their transformations, and forward the same to a monitoring engine. The engine collates this information from different classifiers across the network, to infer the state of a SIP call on individual servers on the call path as well as aggregated call-state.