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Improving Adaptability and Fairness in Internet Congestion Control

Improving Adaptability and Fairness in Internet Congestion Control

Improving Adaptability and Fairness in Internet Congestion Control. May 30, 2001 Seungwan Ryu PhD Student of IE Department University at Buffalo. I. Internet Congestion Control. Internet Congestion Control Mathematical Modeling and Analysis Adaptive AQM and User Response Future Study Plan.

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709 views • 55 slides
Dynamic Web Project

Dynamic Web Project

Dynamic Web Project. Please use it http://dynamicweb.csail.mit.edu. Network Security. Dina Katabi dk@mit.edu nms.csail.mit.edu/~dina. Network Attacks Are Common. Attack Types: Denial of service attacks Spam Worms & Viruses and others Attack targets

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547 views • 40 slides
MULTOPS A data-structure for bandwidth attack detection

MULTOPS A data-structure for bandwidth attack detection

MULTOPS A data-structure for bandwidth attack detection. Thomer M. Gil Vrije Universiteit, Amsterdam, Netherlands MIT, Cambridge, MA, USA thomer@lcs.mit.edu Massimiliano Poletto Mazu Networks, Inc., Cambridge, MA, USA maxp@mazunetworks.com. Bandwidth attacks.

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367 views • 21 slides
Michael Welzl University of Oslo

Michael Welzl University of Oslo

The Benefits to Applications of using Explicit Congestion Notification (ECN) draft-welzl-ecn-benefits-00. Michael Welzl University of Oslo. Gorry Fairhurst University of Aberdeen. 89th IETF Meeting London, UK 4 March 2014. What are we doing?. Point of draft: document gains of ECN

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144 views • 7 slides
Michael Welzl University of Oslo

Michael Welzl University of Oslo

The Benefits to Applications of using Explicit Congestion Notification (ECN) draft-welzl-ecn-benefits-00. Michael Welzl University of Oslo. Gorry Fairhurst University of Aberdeen. 89th IETF Meeting London, UK 4 March 2014. What are we doing?. Point of draft: document gains of ECN

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146 views • 7 slides

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