Addressing Issues in Research on Packet Classification in Core Networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU135166" target="_blank" >RIV/00216305:26230/19:PU135166 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.fit.vut.cz/study/phd-thesis/642/" target="_blank" >https://www.fit.vut.cz/study/phd-thesis/642/</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Addressing Issues in Research on Packet Classification in Core Networks

Popis výsledku v původním jazyce

Although the Internet has changed significantly since the beginning of the 21st century, packet classification is still one of the most common operations implemented in networking devices. Nevertheless, the requirements on its performance are continuously increasing, especially in core networks. Currently, packet classification algorithms have to support 100 Gbps throughput. In addition, classification rule sets are becoming larger and the number of bits involved in the classification decision is growing due to 128-bit IPv6 addresses and classification according to more than 5 header fields in the OpenFlow protocol. Therefore, the majority of contemporary research on packet classification in core networks address the performace of packet classification algorithms, which has to keep pace with continuously increasing requirements. However, the researchers also focus on benchmarking newly developed algorithms because they have to be benchmarked using real rule sets, but such data are not ava

Název v anglickém jazyce

Addressing Issues in Research on Packet Classification in Core Networks

Popis výsledku anglicky

Although the Internet has changed significantly since the beginning of the 21st century, packet classification is still one of the most common operations implemented in networking devices. Nevertheless, the requirements on its performance are continuously increasing, especially in core networks. Currently, packet classification algorithms have to support 100 Gbps throughput. In addition, classification rule sets are becoming larger and the number of bits involved in the classification decision is growing due to 128-bit IPv6 addresses and classification according to more than 5 header fields in the OpenFlow protocol. Therefore, the majority of contemporary research on packet classification in core networks address the performace of packet classification algorithms, which has to keep pace with continuously increasing requirements. However, the researchers also focus on benchmarking newly developed algorithms because they have to be benchmarked using real rule sets, but such data are not ava

Druh

O - Ostatní výsledky

CEP obor

—

OECD FORD obor

20206 - Computer hardware and architecture

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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