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

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

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019
Pages	733-734
Number of pages	2
ISBN (Electronic)	9783903176157
State	Published - May 16 2019
Event	2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019 - Arlington, United States Duration: Apr 8 2019 → Apr 12 2019

Publication series

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

Conference

Conference	2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019
Country/Territory	United States
City	Arlington
Period	4/8/19 → 4/12/19

Bibliographical note

Publisher Copyright:
© 2019 IFIP.

Funding

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.

Funders	Funder number
National Science Foundation Arctic Social Science Program	1450937, 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

Cite this

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title = "AMIS: Programmable privacy-preserving network measurement for analysis and troubleshooting",

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.",

author = "Xiaoban Wu and Chen Xu and Yan Luo and Cody Bumgardner and Gabriel Ghinita and Michael McGarry",

note = "Publisher Copyright: {\textcopyright} 2019 IFIP.; 2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019 ; Conference date: 08-04-2019 Through 12-04-2019",

year = "2019",

month = may,

day = "16",

language = "English",

series = "2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019",

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Wu, X, Xu, C, Luo, Y, Bumgardner, C, Ghinita, G & McGarry, M 2019, AMIS: Programmable privacy-preserving network measurement for analysis and troubleshooting. in 2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019., 8717829, 2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019, pp. 733-734, 2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019, Arlington, United States, 4/8/19.

AMIS: Programmable privacy-preserving network measurement for analysis and troubleshooting. / Wu, Xiaoban; Xu, Chen; Luo, Yan et al.
2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019. 2019. p. 733-734 8717829 (2019 IFIP/IEEE Symposium on Integrated Network and Service Management, IM 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

Abstract

Publication series

Conference

Bibliographical note

Funding

ASJC Scopus subject areas

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Cite this