{"title":"选择性带内网络遥测减少开销","authors":"Youngho Kim, Dongeun Suh, Sangheon Pack","doi":"10.1109/CloudNet.2018.8549351","DOIUrl":null,"url":null,"abstract":"In-band network telemetry (INT) in programming protocol-independent packet processor (P4) is an emerging network monitoring framework that allows data packets to query different switch-internal states. Meanwhile, the existing INT monitors all data packets and thus significant network overhead can be caused by per-packet INT header and the monitoring engine can be overloaded. To address these issues, we proposed a selective INT (sINT) where the ratio of packets to be monitored can be adjusted depending on the frequency of significant changes in network information. The preliminary results show that sINT can detect all the significant data plane events while reducing the network overhead and the monitoring engine load.","PeriodicalId":436842,"journal":{"name":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"32","resultStr":"{\"title\":\"Selective In-band Network Telemetry for Overhead Reduction\",\"authors\":\"Youngho Kim, Dongeun Suh, Sangheon Pack\",\"doi\":\"10.1109/CloudNet.2018.8549351\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In-band network telemetry (INT) in programming protocol-independent packet processor (P4) is an emerging network monitoring framework that allows data packets to query different switch-internal states. Meanwhile, the existing INT monitors all data packets and thus significant network overhead can be caused by per-packet INT header and the monitoring engine can be overloaded. To address these issues, we proposed a selective INT (sINT) where the ratio of packets to be monitored can be adjusted depending on the frequency of significant changes in network information. The preliminary results show that sINT can detect all the significant data plane events while reducing the network overhead and the monitoring engine load.\",\"PeriodicalId\":436842,\"journal\":{\"name\":\"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"32\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CloudNet.2018.8549351\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 7th International Conference on Cloud Networking (CloudNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CloudNet.2018.8549351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Selective In-band Network Telemetry for Overhead Reduction
In-band network telemetry (INT) in programming protocol-independent packet processor (P4) is an emerging network monitoring framework that allows data packets to query different switch-internal states. Meanwhile, the existing INT monitors all data packets and thus significant network overhead can be caused by per-packet INT header and the monitoring engine can be overloaded. To address these issues, we proposed a selective INT (sINT) where the ratio of packets to be monitored can be adjusted depending on the frequency of significant changes in network information. The preliminary results show that sINT can detect all the significant data plane events while reducing the network overhead and the monitoring engine load.