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

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

Producción científica: Conference contribution › revisión exhaustiva

Resumen

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.

Idioma originalEnglish
Título de la publicación alojada2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019
Páginas733-734
Número de páginas2
ISBN (versión digital)9783903176157
EstadoPublished - may 16 2019
Evento2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019 - Arlington, United States
Duración: abr 8 2019 → abr 12 2019

Serie de la publicación

Nombre2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019

Conference

Conference2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019
País/TerritorioUnited States
CiudadArlington
Período4/8/19 → 4/12/19

Nota bibliográfica

Publisher Copyright:
© 2019 IFIP.

Financiación

This work is supported in part by the National Science Foundation (No. 1547428, No. 1541434, No. 1440737, No. 1450996, 1450937, 1450975, and 1450997) and a grant from Intel Corporation. Also, we want to thank Joe Mambretti, Jim Chen and Fei Yeh at StarLight/iCAIR/Northwestern University, and Jeronimo Bezerra at AMPATH/Florida International University for their endless help and support on the deployment and network configuration of AMIS instruments.

FinanciadoresNúmero del financiador
National Science Foundation Arctic Social Science Program1450937, 1541434, 1450996, 1450975, 1450997, 1547428, 1440737
Intel Corporation

    ASJC Scopus subject areas

    • Information Systems and Management
    • Management Science and Operations Research
    • Information Systems
    • Computer Networks and Communications

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