Using video-based measurements to generate a real-time network traffic map

Yi Sun; Junchen Jiang; Vyas Sekary; Hui Zhang; Fuyuan Lin; Nanshu Wang

doi:10.1145/2670518.2673870

Using video-based measurements to generate a real-time network traffic map

Yi Sun, Junchen Jiang, Vyas Sekary, Hui Zhang, Fuyuan Lin, Nanshu Wang

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

1 Citation (Scopus)

Abstract

We envision a real-time network traffic map for the Internet, where each network link is annotated with its capacity and its current utilization, with an interface that networked applications can query to inform their control decisions. While this goal is simple to state, it has been out of our reach due to concerns over measurement overhead and coverage. Our insight is that the rise of Internet video and the availability of measurements from video players present an unprecedented opportunity to address these issues. We outline a preliminary roadmap to build on this opportunity to realize a global traffic map.

Original language	English
Title of host publication	HotNets 2014
Subtitle of host publication	Proceedings of the 13th ACM Workshop on Hot Topics in Networks
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc
Pages	1-7
Number of pages	7
ISBN (Electronic)	9781450332569
DOIs	https://doi.org/10.1145/2670518.2673870
Publication status	Published - 27 Oct 2014
Externally published	Yes
Event	13th ACM SIGCOMM Workshop on Hot Topics in Networks, HotNets 2014 - Los Angeles, United States Duration: 27 Oct 2014 → 28 Oct 2014

Other

Other	13th ACM SIGCOMM Workshop on Hot Topics in Networks, HotNets 2014
Country/Territory	United States
City	Los Angeles
Period	27/10/14 → 28/10/14

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10.1145/2670518.2673870

Cite this

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title = "Using video-based measurements to generate a real-time network traffic map",

abstract = "We envision a real-time network traffic map for the Internet, where each network link is annotated with its capacity and its current utilization, with an interface that networked applications can query to inform their control decisions. While this goal is simple to state, it has been out of our reach due to concerns over measurement overhead and coverage. Our insight is that the rise of Internet video and the availability of measurements from video players present an unprecedented opportunity to address these issues. We outline a preliminary roadmap to build on this opportunity to realize a global traffic map.",

author = "Yi Sun and Junchen Jiang and Vyas Sekary and Hui Zhang and Fuyuan Lin and Nanshu Wang",

year = "2014",

month = oct,

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doi = "10.1145/2670518.2673870",

language = "English",

pages = "1--7",

booktitle = "HotNets 2014",

publisher = "Association for Computing Machinery, Inc",

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Sun, Y, Jiang, J, Sekary, V, Zhang, H, Lin, F & Wang, N 2014, Using video-based measurements to generate a real-time network traffic map. in HotNets 2014: Proceedings of the 13th ACM Workshop on Hot Topics in Networks. Association for Computing Machinery, Inc, New York, pp. 1-7, 13th ACM SIGCOMM Workshop on Hot Topics in Networks, HotNets 2014, Los Angeles, United States, 27/10/14. https://doi.org/10.1145/2670518.2673870

Using video-based measurements to generate a real-time network traffic map. / Sun, Yi; Jiang, Junchen; Sekary, Vyas et al.
HotNets 2014: Proceedings of the 13th ACM Workshop on Hot Topics in Networks. New York: Association for Computing Machinery, Inc, 2014. p. 1-7.

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

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AU - Jiang, Junchen

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AU - Zhang, Hui

AU - Lin, Fuyuan

AU - Wang, Nanshu

PY - 2014/10/27

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AB - We envision a real-time network traffic map for the Internet, where each network link is annotated with its capacity and its current utilization, with an interface that networked applications can query to inform their control decisions. While this goal is simple to state, it has been out of our reach due to concerns over measurement overhead and coverage. Our insight is that the rise of Internet video and the availability of measurements from video players present an unprecedented opportunity to address these issues. We outline a preliminary roadmap to build on this opportunity to realize a global traffic map.

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Using video-based measurements to generate a real-time network traffic map

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