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The Practicality of End-User Network Monitoring

The Practicality of End-User Network Monitoring. Vivek Pai Princeton University. What Is This Talk?. Gedankenexperiment A brief history of work – ours & related Not necessarily precise Not even close to exhaustive Some prediction, direction From discussions with Ming Zhang, Larry Peterson

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The Practicality of End-User Network Monitoring

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  1. The Practicality of End-User Network Monitoring Vivek Pai Princeton University

  2. What Is This Talk? • Gedankenexperiment • A brief history of work – ours & related • Not necessarily precise • Not even close to exhaustive • Some prediction, direction • From discussions with Ming Zhang, Larry Peterson • Much derived from Ming’s PlanetSeer work Vivek Pai, Princeton University

  3. In The Beginning • There was RON • And RON was good But • RON was smaller than the Internet Vivek Pai, Princeton University

  4. And Then There Was PlanetLab • PlanetLab was bigger • But still smaller than the Internet • But it was growing • What about RON on PlanetLab? Vivek Pai, Princeton University

  5. Other Problems • All-pairs probing not indefinitely scalable • Possible to modify this • Path diversity was a problem • No quadratic increase in diversity with additional nodes • Every reviewer would jump on this • Still not growing fast enough Vivek Pai, Princeton University

  6. Idea: Use “External” Nodes • Two groups had similar ideas • SOSR (Gummadi et al) and • PlanetSeer (Zhang et al) • Both published in OSDI 2004 • Approach specifics differed • Probe type, probe frequency • # of participating nodes, etc Vivek Pai, Princeton University

  7. SOSR Target popular web servers Actively probe at periodic intervals TCP probes PlanetSeer Target clients & servers Passively monitor, then actively probe UDP (traceroute) Host: CoDeeN CDN http://codeen.cs.princeton.edu Quick Highlights Vivek Pai, Princeton University

  8. High-Level Picture of PlanetSeer Vivek Pai, Princeton University

  9. TTL 30 TTL 32 TTL 28 TTL 31 TTL 29 TTL 32 TTL 29 TTL 31 TTL 30 When To Probe? • Difficulties • Do not continuously probe • No cooperation from both ends • Indicators of routing problem • Time-to-live (TTL) change • n consecutive timeouts (currently n = 4) • Idling period of 3 to 16 seconds • Congestions usually don’t last this long? source destination

  10. Probing Groups • 353 nodes, 145 sites, 30 groups world-wide • Reduce overhead without losing accuracy • One traceroute from each group

  11. Temp Anomaly 16% Persist Loop 7% Path Change 44% Temp Loop 1% Other Outage 23% Fwd Outage 9% Confirmed Anomaly Breakdown • Confirmed anomalies • 271,898 • 3 months • 2 per minute • 100 x higher • Temp anomaly • Inconsistent probe

  12. PlanetSeer Tradeoffs • Passive/active big win • One active probe on avg every 4 seconds • Understanding NATs drops this to every 8 secs • One confirmed anomaly every 30 seconds • About 100x the anomalies for 3x probe traffic • Using external loses some info • But passive traffic provides some Vivek Pai, Princeton University

  13. Core Edge 215 ASes 22 ASes 1392 ASes 1420 ASes 13872 ASes Path Diversity • Monitoring period: 02/2004 – 05/2004 • Unique IPs: 887,521 • Traversed ASes: 10,090 Vivek Pai, Princeton University

  14. PlanetSeer Going Forward • CoDeeN traffic increasing • Was doing ~5M reqs/day from ~25K clients • Now at 12M+ reqs/day from 50K+ clients • Coverage might be improving • PlanetSeer saw ~1M unique IP addresses in 3 months • Not clear how many are dial-up • New users will come from new services, like CoBlitz (scalable large-file transfer) Vivek Pai, Princeton University

  15. Observations • Getting 2 orders larger than RON required new approach • PlanetSeer has several avenues for growth • Missing half of Tier 5 ASes • More traffic on lower tiers desirable • Total users still small • Projection: next 2 orders will need new approach Vivek Pai, Princeton University

  16. Involving the End User • Seti@home approach • About 5M downloads • In comparison: CNN 22M, AOL 23M • Web bugs • Possible, but who’s going to do it? • P2P probing • Public relations problem? Maybe • BitTorrent/Skype likely candidates – how? • Locality optimizations undesirable Vivek Pai, Princeton University

  17. MeasureMe! • Use browser to launch active probes • Like web bugs, but obvious • Delivery options • Built into browser • Clickable via error pages • Toolbar • Local application (screen saver, etc.) Vivek Pai, Princeton University

  18. Each image URL is for a CGI, and has an identifier Vivek Pai, Princeton University

  19. Do We Need End Users? • Most people not multi-homed • Last mile does not matter • Matters to them, but not otherwise • Focus on ISPs • Fewer privacy, security issues • Can ship data with other routing data • End users useful when ISP not joining Vivek Pai, Princeton University

  20. Do We Need To Coalesce? • Measurement traffic still small • Good experience for students • New ideas needed • Different approaches may yield new insight • Shared measurement infrastructure vulnerable • Blacklisting affects more people • Any experiment can cause ripples Vivek Pai, Princeton University

  21. What’s Next For Us • We’ll let PlanetSeer track CoDeeN • User growth will give us more data • Long (1GB+) downloads in CoBlitz will provide more stickiness • Might implement MeasureMe! splash screen • Longer term – allow direct participation Vivek Pai, Princeton University

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