Evolution of Cache Replacement Policies to Track Heavy-hitter Flows

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Evolution of Cache Replacement Policies to Track Heavy-hitter Flows

Popis výsledku v původním jazyce

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 whichto 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.&nbsp; Therefore we introduce a general description of any replacement policy and let Genetic Algorithm to evolve novel replacement policy using this description.&nbsp; 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.<br>

Název v anglickém jazyce

Evolution of Cache Replacement Policies to Track Heavy-hitter Flows

Popis výsledku anglicky

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 whichto 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.&nbsp; Therefore we introduce a general description of any replacement policy and let Genetic Algorithm to evolve novel replacement policy using this description.&nbsp; 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.<br>

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 6th ACM/IEEE Symposium on Architectures for Networking and Communications Systems

ISBN

978-1-4503-0379-8

ISSN

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e-ISSN

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Počet stran výsledku

2

Strana od-do

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Název nakladatele

Association for Computing Machinery

Místo vydání

La Jolla

Místo konání akce

Princeton

Datum konání akce

19. 10. 2009

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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