AMIS: Programmable privacy-preserving network measurement for analysis and troubleshooting

Xiaoban Wu, Chen Xu, Yan Luo, Cody Bumgardner, Gabriel Ghinita, Michael McGarry

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

1Network measurement and monitoring are instrumental to network operations, planning and troubleshooting. However, increasing line rates (100+Gbps), changing measurement targets and metrics, privacy concerns, and policy differences across multiple RE network domains have introduced tremendous challenges in operating such high-speed heterogeneous networks, understanding the traffic patterns, providing for resource optimization, and locating and resolving network issues. There is strong demand for a flexible, high-performance measurement instrument that can empower network operators to achieve the versatile objectives of effective network management and resource provisioning. In this demonstration, we present AMIS: Advanced Measurement Instrument and Services to achieve programmable, flow-granularity and event-driven network measurement, sustain scalable line rates, to meet evolving measurement objectives and to derive knowledge for network advancement.

Original languageEnglish
Title of host publication2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages733-734
Number of pages2
ISBN (Electronic)9783903176157
Publication statusPublished - 16 May 2019
Externally publishedYes
Event2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019 - Arlington, United States
Duration: 8 Apr 201912 Apr 2019

Publication series

Name2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019

Conference

Conference2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019
Country/TerritoryUnited States
CityArlington
Period8/04/1912/04/19

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