'End hosts' diaporamas de présentation

15-446 Networked Systems Practicum

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Internet Indirection Infrastructure

739 views • 64 slides

714 views • 60 slides

740 views • 60 slides

Handout # 20 Network Security & Final Review

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Global Network Positioning: A New Approach to Network Distance Prediction

Global Network Positioning: A New Approach to Network Distance Prediction. Tze Sing Eugene Ng Department of Computer Science Carnegie Mellon University. MIT. CMU. Stanford. MIT. Berkeley. CMU. Berkeley. Stanford. CMU. MIT. MIT. CMU. Stanford. Stanford. MIT. MIT. Berkeley.

708 views • 52 slides

Internet Indirection Infrastructure

641 views • 51 slides

Internet Indirection Infrastructure

639 views • 51 slides

A Game-Theoretic Approach towards Congestion Control in Communication Networks

A Game-Theoretic Approach towards Congestion Control in Communication Networks. Rahul Garg ( grahul@in.ibm.com ) Abhinav Kamra ( abhinav@iitd.ernet.in ) Varun Khurana ( varun@iitd.ernet.in ). Overview. Background Congestion Voluntary congestion control A game-theoretic model

614 views • 49 slides

15-744: Computer Networking

15-744: Computer Networking. L-22 Security and DoS. Overview. Security holes in IP stack Denial of service Capabilities Traceback. Basic IP. End hosts create IP packets and routers process them purely based on destination address alone (not quite in reality)

548 views • 47 slides

CSCI-1680 Network Layer: Wrapup

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Outline for this lecture

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SANE: A Protection Architecture for Enterprise Networks

Martin Casado (Stanford) Tal Garfinkel (Stanford) Aditya Akella (CMU/Stanford) Dan Boneh (Stanford) Nick McKeown (Stanford) Scott Shenker (ICSI/Berkeley). SANE: A Protection Architecture for Enterprise Networks. Enterprise Security is Important.

394 views • 29 slides

Exploit Hijacking: Side Effects of Smart Defenses

Exploit Hijacking: Side Effects of Smart Defenses. Costin Raiciu, Mark Handley, David S. Rosenblum University College London LSAD 2006. What is this about?. Hijacking. Worms. Defenses. Research. Does this matter?. Worm. Defense. Hijacking. Defenses not deployed yet!

377 views • 27 slides

King : Estimating latency between arbitrary Internet end hosts

King : Estimating latency between arbitrary Internet end hosts. Krishna Gummadi, Stefan Saroiu Steven D. Gribble University of Washington. A Question:. What can we do with a tool that could estimate latency between any two arbitrary hosts accurately?. C. Internet. A. B.

427 views • 27 slides

Criticisms of I3

Criticisms of I3. Zhichun Li. General Issues. Functionality Security Performance Practicality If not significant better than existing schemes, why bother?. Limitations or design principle. Subscription based model of communication Must know the IDs to subscribe to

396 views • 26 slides

ECE 544 Project3

ECE 544 Project3. Anup Mathur Anusha Sheelavant Prakhar Srivastava. Assumptions. Assumptions End hosts can only connect to routers Same content available at multiple end nodes All routers have static IP addresses Routing tables are updated periodically and on events

561 views • 25 slides

DARD : D istributed A daptive R outing for D atacenter Networks

DARD : D istributed A daptive R outing for D atacenter Networks. Xin Wu, Xiaowei Yang. Multiple equal cost paths in DCN. core. A gg. ToR. s rc. d st. pod. Scale-out topology -> Horizontal expansion -> More paths. Suboptimal scheduling -> hot spot. s rc 1. dst 1. dst 2. s rc 2.

380 views • 24 slides

King : A tool to estimate latency between Internet hosts

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Anders Magnusson

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