Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Kafe: Can OS Kernels Forward Packets Fast Enough for Software Routers?

Full metadata record
DC Field Value Language
dc.contributor.authorHong, Cheol-Ho-
dc.contributor.authorLee, Kyungwoon-
dc.contributor.authorHwang, Jaehyun-
dc.contributor.authorPark, Hyunchan-
dc.contributor.authorYoo, Chuck-
dc.date.accessioned2021-09-02T02:32:08Z-
dc.date.available2021-09-02T02:32:08Z-
dc.date.created2021-06-19-
dc.date.issued2018-12-
dc.identifier.issn1063-6692-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/71380-
dc.description.abstractIt is widely believed that software routers based on commodity operating systems cannot deliver high-speed packet processing, and a number of alternative approaches (including user-space network stacks) have been proposed. This paper revisits the inefficiency of kernel-level packet processing inside modern OS-based software routers and explores whether a redesign of kernel network stacks can improve the incompetence. We present a case contrary to the belief through a redesign: Kafe-a kernel-based advanced forwarding engine that can process packets as fast as user-space network stacks. The Kafe neither adds any new API nor depends on proprietary hardware features, but the Kafe outperforms Linux by seven times and RouteBricks by three times. The current implementation of the Kafe can forward 64-byte IPv4 packets at 28.2 Gbps using eight cores running at 2.6 GHz. Our evaluation results show that the Kafe achieves similar packet forwarding performance to Intel DPDK while consuming much less CPU and memory resources.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectLOOKUP-
dc.titleKafe: Can OS Kernels Forward Packets Fast Enough for Software Routers?-
dc.typeArticle-
dc.contributor.affiliatedAuthorYoo, Chuck-
dc.identifier.doi10.1109/TNET.2018.2879752-
dc.identifier.scopusid2-s2.0-85057170709-
dc.identifier.wosid000454237000023-
dc.identifier.bibliographicCitationIEEE-ACM TRANSACTIONS ON NETWORKING, v.26, no.6, pp.2734 - 2747-
dc.relation.isPartOfIEEE-ACM TRANSACTIONS ON NETWORKING-
dc.citation.titleIEEE-ACM TRANSACTIONS ON NETWORKING-
dc.citation.volume26-
dc.citation.number6-
dc.citation.startPage2734-
dc.citation.endPage2747-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryComputer Science, Hardware & Architecture-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.subject.keywordPlusLOOKUP-
dc.subject.keywordAuthorSoftware router-
dc.subject.keywordAuthorOS network stack-
dc.subject.keywordAuthoroptimization-
Files in This Item
There are no files associated with this item.
Appears in
Collections
Graduate School > Department of Computer Science and Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Yoo, Chuck photo

Yoo, Chuck
컴퓨터학과
Read more

Altmetrics

Total Views & Downloads

BROWSE