Jeronimo Bezerra, I. Brito, A. Quintana, J. Ibarra, V. Chergarova, Renata Frez, Heidi Morgan, Marc LeClerc, Arun Paneri
{"title":"Deploying per-packet telemetry in a long-haul network: the AmLight use case","authors":"Jeronimo Bezerra, I. Brito, A. Quintana, J. Ibarra, V. Chergarova, Renata Frez, Heidi Morgan, Marc LeClerc, Arun Paneri","doi":"10.1109/indis54524.2021.00010","DOIUrl":null,"url":null,"abstract":"Long-haul networks are growing in complexity to address the constant need for more bandwidth, lower latency and jitter, customized traffic prioritization, and SLA-grade network resilience. A more complex infrastructure requires a deeper visibility of the assets to optimize the resource utilization as well as to protect the infrastructure and users connected to it. Leveraging legacy network monitoring technologies, such as SNMP, is not enough, since they do not offer real-time and granular visibility. That's where per-packet monitoring solutions can become a game changer. In-band Network Telemetry (INT) offers per-packet visibility with no impact to the network's forwarding plane. Adding per-packet visibility has the potential to change the network monitoring and operations field, and to redefine how traffic engineering will take place in the future. This paper aims to showcase how INT can dramatically increase network visibility, down to a sub-second scale. Experiments and findings come from using the AmLight long-haul academic network as a use case.","PeriodicalId":351712,"journal":{"name":"2021 IEEE Workshop on Innovating the Network for Data-Intensive Science (INDIS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Workshop on Innovating the Network for Data-Intensive Science (INDIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/indis54524.2021.00010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Long-haul networks are growing in complexity to address the constant need for more bandwidth, lower latency and jitter, customized traffic prioritization, and SLA-grade network resilience. A more complex infrastructure requires a deeper visibility of the assets to optimize the resource utilization as well as to protect the infrastructure and users connected to it. Leveraging legacy network monitoring technologies, such as SNMP, is not enough, since they do not offer real-time and granular visibility. That's where per-packet monitoring solutions can become a game changer. In-band Network Telemetry (INT) offers per-packet visibility with no impact to the network's forwarding plane. Adding per-packet visibility has the potential to change the network monitoring and operations field, and to redefine how traffic engineering will take place in the future. This paper aims to showcase how INT can dramatically increase network visibility, down to a sub-second scale. Experiments and findings come from using the AmLight long-haul academic network as a use case.