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Internet Measurement and Analysis Vinay Ribeiro Shriram Sarvotham Rolf Riedi Richard Baraniuk Rice University.

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Presentation on theme: "Internet Measurement and Analysis Vinay Ribeiro Shriram Sarvotham Rolf Riedi Richard Baraniuk Rice University."— Presentation transcript:

1 Internet Measurement and Analysis Vinay Ribeiro Shriram Sarvotham Rolf Riedi Richard Baraniuk Rice University

2 Internet Complex interaction of –Network protocols (routing, congestion control) –Applications (Web, email, streaming video/voice) To improve performance –Need to understand Internet’s working –Need measurements and analysis tools

3 Network Operations: Performance Issues Must collect traffic statistics at routers/links Key: measurement must not overload routers Avoid network congestion –Monitor traffic loads Fault tolerance –Reroute traffic if link goes down

4 Measurement Granularity Packet level: measure every packet Connection level: measure aggregate information for each file transfer Link level: measure only mean bit rate on link data volume and detail What are performance relevant statistics?

5 Alpha/beta model for network traffic Motivation: study burstiness in traffic Connection-level analysis of available traces Finding: typically one dominant connection during burst Classify dominant connections as alpha, remaining as beta

6 Implications of Alpha/Beta Network control –Active Queue Management (AQM) should target alpha connections that cause bursts Simulation: For realistic scenarios must simulate both alpha and beta components Queuing analysis and network design Should consider both components –Gaussian beta component –spiky alpha component

7 Network Users: Performance Issues Users want to optimize performance –Use maximum bandwidth, minimize packet delay and loss Internal routers uncooperative (security, technical issues) Use probe packet delays measured by edge machines

8 Available Bandwidth Available bandwidth = unused bandwidth on path Probing scheme must be non-intrusive (introduce light load on network)

9 Chirp Probing Chirp: exponential flight pattern of probes Non-intrusive and Efficient: wide range of probing bit rates, few packets Estimation Algorithm Available bandwidth = probing rate at onset of queuing delay increase (congestion)

10 Applications Network path selection: download data over path with more bandwidth Congestion control: find optimal rate to transmit data without congesting network

11 Conclusions Internet measurement and analysis tools required to improve performance Measurement modules needed at routers as well as desktops URL: spin.rice.edu


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