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Challenges and issues in Measurement research

Challenges and issues in Measurement research. Christophe Diot christophe.diot@intel.com www.intel-research.net. Why monitoring. Monitoring should be the first step after a system has been designed Assess performance Control, manage, improve, engineer

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Challenges and issues in Measurement research

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  1. Challenges and issues in Measurement research Christophe Diot christophe.diot@intel.com www.intel-research.net

  2. Why monitoring • Monitoring should be the first step after a system has been designed • Assess performance • Control, manage, improve, engineer • Any system should be designed with monitoring capabilities • Instead, the internet is a big black box that seem to work well (but don’t look too close)

  3. Why monitoring • Did God monitored Adam before designing Eve ?(clearly not if God was an Internet engineer) • Make a system operational, then monitor it is like putting the cart before the horse.

  4. What needs to be monitored • Managing a network based on SNMP data is like looking at the finger that points the moon • Every possible data might be useful at some given point in time • Need to merge information • We don’t know yet what is exactly needed

  5. Illustration

  6. A two tier monitoring system to network Monitored link Store & Forward Compute & export from network Queries Memory Routing Table

  7. A two tier monitoring system to network Monitored link Store & Forward Compute & export Tier 1 (permanent) from network Queries Memory Routing Table

  8. A two tier monitoring system to network Monitored link Store & Forward Compute & export from network Queries Tier 2 (on-demand) Memory Routing Table

  9. Packet Headers Flow Table Statistics & Counters NIC to/from network Memory Sprint CMON architecture CPU Disk Array Packet Trace Encoding Control Module Compressed Packet Trace Statistics Module OC 3/12/48/192 Flow Classification Engine Export Module DAG Card

  10. Related research problems • Performance (10Gbps and more) • Location (where to deploy) • Control plane (Incl. Queries) • Relevant metrics • DoS • Active monitoring • Sampling

  11. Enablers • Publicly available data • ISPs, Universities, etc. • free equipment to encourage monitoring • NSF, EU MUST push. • Multidisciplinary projects • Academic and industry research work together

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