Fuzzy Control of Sampling Interval for Measurement of QoS Parameters Juraj Giertl

Outline  Introduction to QoS in computer networks  Measurements of QoS parameters  Problems connected to measurements  Fuzzy logic controller (FLC) for adaptive sampling  Comparison of sampling methods Source: Placeholder for Notes is 14 points

QoS in Computer Networks  QoS is defined by several performance parameters  Volume characteristics  bandwidth  packet rate  packet loss  Time characteristics  one way delay  jitter (delay variation)  round-trip time Source: Placeholder for Notes is 14 points

Measurements of QoS Parameters Source: Placeholder for Notes is 14 points  active  semi-active  passive  IPFIX  NetFlow  BasicMeter

Problems Connected to Measurements Problems  complexity of data processing  volume of processed data Solutions  packet filtering  packet sampling  aggregation of packets into flows Source: Placeholder for Notes is 14 points

FLC for Adaptive Sampling (1) Source: Placeholder for Notes is 14 points  sampling interval adapts to network behavior  result of data reduction is a representative sample of traffic with reasonable accuracy

FLC for Adaptive Sampling (2) Sample of FLC rules Source: Placeholder for Notes is 14 points PP T TT no changesmallincrease high change slightsmall-mediumincrease low change lowsmall-mediumno change change lowmediumdecrease low change mediummedium-largedecrease high

Comparison of Sampling Methods Source: Placeholder for Notes is 14 points

Future Plans  cluster analysis for modification of FLC parameters  adaptation of time frame size to network behavior  full IPFIX conformance  implementation of new IPFIX exporting protocol (alternative to NetFlow)  IPv6 support  MPLS support Source: Placeholder for Notes is 14 points

Thank you for attention! Source: Placeholder for Notes is 14 points