Challenges and issues in Measurement research - PowerPoint PPT Presentation

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Challenges and issues in Measurement research

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NeXtworking'03 June 23-25,2003, Chania, Crete, Greece ... Challenges and issues in Measurement research. Christophe Diot. christophe.diot_at_intel.com ... – PowerPoint PPT presentation

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Title: Challenges and issues in Measurement research


1
Challenges and issues in Measurement research
  • Christophe Diot
  • christophe.diot_at_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 dont 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 dont 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
Routing Table
Memory
7
A two tier monitoring system
to network
Monitored link
Store Forward
Compute export
Tier 1 (permanent)
from network
Queries
Routing Table
Memory
8
A two tier monitoring system
to network
Monitored link
Store Forward
Compute export
from network
Queries
Tier 2 (on-demand)
Routing Table
Memory
9
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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