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  • This paper presents a scheme to evolve fine-tuned/specialized replacement policy to keep track of heavy flows in network traffic. The evolved replacement policy provides a flow cache management mechanism to decide which flow states to preserve and which to expire. The observation shows that the well-known LRU and its modifications are not suitable replacement policies for network traffic stateful processing which focuses on heavy flows.  Therefore we introduce a general description of any replacement policy and let Genetic Algorithm to evolve novel replacement policy using this description.  The results shows that the evolved policy is more suitable for paradigm of heavy flow processing and monitoring. Moreover, our approach keeps state of heavy flows since the start-of-day. This is a significant difference to filtering approaches proposed in previous work which might many applications benefit from.
  • This paper presents a scheme to evolve fine-tuned/specialized replacement policy to keep track of heavy flows in network traffic. The evolved replacement policy provides a flow cache management mechanism to decide which flow states to preserve and which to expire. The observation shows that the well-known LRU and its modifications are not suitable replacement policies for network traffic stateful processing which focuses on heavy flows.  Therefore we introduce a general description of any replacement policy and let Genetic Algorithm to evolve novel replacement policy using this description.  The results shows that the evolved policy is more suitable for paradigm of heavy flow processing and monitoring. Moreover, our approach keeps state of heavy flows since the start-of-day. This is a significant difference to filtering approaches proposed in previous work which might many applications benefit from. (en)
Title
  • Evolution of Cache Replacement Policies to Track Heavy-hitter Flows
  • Evolution of Cache Replacement Policies to Track Heavy-hitter Flows (en)
skos:prefLabel
  • Evolution of Cache Replacement Policies to Track Heavy-hitter Flows
  • Evolution of Cache Replacement Policies to Track Heavy-hitter Flows (en)
skos:notation
  • RIV/00216305:26230/11:PU96002!RIV12-MSM-26230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 198483
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/11:PU96002
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • cache, replacement policy, heavy-hitters, flows (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [AD6454168212]
http://linked.open...v/mistoKonaniAkce
  • Atlanta
http://linked.open...i/riv/mistoVydani
  • Atlanta
http://linked.open...i/riv/nazevZdroje
  • Passive and Active Measurement
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Canini, Marco
  • Žádník, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-19259-3
http://localhost/t...ganizacniJednotka
  • 26230
is http://linked.open...avai/riv/vysledek of
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