ClassBench-ng: Recasting ClassBench After a Decade of Network Evolution
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU126381" target="_blank" >RIV/00216305:26230/17:PU126381 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.fit.vut.cz/research/publication/11317/" target="_blank" >https://www.fit.vut.cz/research/publication/11317/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ANCS.2017.33" target="_blank" >10.1109/ANCS.2017.33</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
ClassBench-ng: Recasting ClassBench After a Decade of Network Evolution
Popis výsledku v původním jazyce
Internet evolution is driven by a continuous stream of new applications and users driving the demand for services. To keep up with this, a never-stopping research has been transforming the Internet ecosystem over the time. Technological changes on both protocols (the uptake of IPv6) and network architectures (the adoption of Software Defined Networking) introduced new challenges for ASIC designers. In particular, IPv6 and OpenFlow increased the complexity of the rule matching problem, pushing researchers to build new packet classification algorithms capable to keep pace with a steady growth of link speed. A lot of research effort identifies better lookup techniques capitalizing on the characteristics of rule sets. So far, the availability of small numbers of real rule sets and synthetic ones, generated with tools such as ClassBench, has boosted research in the IPv4 world. Starting from an analysis of rule sets taken from operational environments, we present ClassBench-ng, a new open source tool for the generation of synthetic IPv4, IPv6, and OpenFlow 1.0 rule sets exposing the same properties of real ones. We feel this tool can meet the requirements of nowadays researchers, boosting the rule matching research as ClassBench has done since ten years ago.
Název v anglickém jazyce
ClassBench-ng: Recasting ClassBench After a Decade of Network Evolution
Popis výsledku anglicky
Internet evolution is driven by a continuous stream of new applications and users driving the demand for services. To keep up with this, a never-stopping research has been transforming the Internet ecosystem over the time. Technological changes on both protocols (the uptake of IPv6) and network architectures (the adoption of Software Defined Networking) introduced new challenges for ASIC designers. In particular, IPv6 and OpenFlow increased the complexity of the rule matching problem, pushing researchers to build new packet classification algorithms capable to keep pace with a steady growth of link speed. A lot of research effort identifies better lookup techniques capitalizing on the characteristics of rule sets. So far, the availability of small numbers of real rule sets and synthetic ones, generated with tools such as ClassBench, has boosted research in the IPv4 world. Starting from an analysis of rule sets taken from operational environments, we present ClassBench-ng, a new open source tool for the generation of synthetic IPv4, IPv6, and OpenFlow 1.0 rule sets exposing the same properties of real ones. We feel this tool can meet the requirements of nowadays researchers, boosting the rule matching research as ClassBench has done since ten years ago.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20206 - Computer hardware and architecture
Návaznosti výsledku
Projekt
<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings - 2017 ACM/IEEE Symposium on Architectures for Networking and Communications Systems, ANCS 2017
ISBN
978-1-5090-6386-4
ISSN
—
e-ISSN
—
Počet stran výsledku
13
Strana od-do
204-216
Název nakladatele
IEEE Computer Society
Místo vydání
Beijing
Místo konání akce
Peking
Datum konání akce
18. 5. 2017
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000417417600024