Detailed Information

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

Formullar: An FPGA-based network testing tool for flexible and precise measurement of ultra-low latency networking systems

Full metadata record
DC Field Value Language
dc.contributor.authorPark, T.-
dc.contributor.authorShin, S.-
dc.contributor.authorShin, I.-
dc.contributor.authorLee, K.-
dc.date.available2021-03-10T07:40:29Z-
dc.date.created2021-03-10-
dc.date.issued2021-02-11-
dc.identifier.issn1389-1286-
dc.identifier.urihttp://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/40624-
dc.description.abstractAs network systems become widespread in emerging time-sensitive domains, latency becomes an important performance factor. Thus, there is a new demand for ultra-low latency (ULL), which requires an extra-ordinarily low latency even in a deterministic manner. To support the ULL requirement, it is mandatory that each network device strictly guarantees this latency. As a result, there is an increasing demand for a precise latency measurement tool that achieves two conflicting goals: high time precision and flexible traffic control. To support these goals, this paper proposes a novel measurement tool, named Formullar, which has a hybrid architecture composed of hardware (Formullar FPGA) and software (Formullar controller) layers. Formullar generates packets in an accurate timing, according to the various traffic patterns. The packet generation is controlled in a fully programmable manner that makes the testing fully automated and flexible. Then, latency is measured based on packet generation and reception timing; the measurement is done by the hardware layer, providing highly precise measurement results. Using this carefully constructed system, a Formullar prototype was implemented on top of the commodity FPGA board NetFPGA-SUME. The evaluation indicates that Formullar provides highly precise measurements with nanoseconds precision at a bandwidth of 10 Gbps. © 2020 Elsevier B.V.-
dc.language영어-
dc.language.isoen-
dc.publisherElsevier B.V.-
dc.relation.isPartOfComputer Networks-
dc.titleFormullar: An FPGA-based network testing tool for flexible and precise measurement of ultra-low latency networking systems-
dc.typeArticle-
dc.identifier.doi10.1016/j.comnet.2020.107689-
dc.type.rimsART-
dc.identifier.bibliographicCitationComputer Networks, v.185-
dc.description.journalClass1-
dc.identifier.wosid000612218600004-
dc.identifier.scopusid2-s2.0-85097866006-
dc.citation.titleComputer Networks-
dc.citation.volume185-
dc.contributor.affiliatedAuthorLee, K.-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.subject.keywordAuthorHardware-
dc.subject.keywordAuthorNetwork-
dc.subject.keywordAuthorPerformance measurement-
dc.subject.keywordAuthorUltra-low latency-
dc.subject.keywordPlusInternet-
dc.subject.keywordPlusFully programmables-
dc.subject.keywordPlusHybrid architectures-
dc.subject.keywordPlusLatency measurements-
dc.subject.keywordPlusMeasurement tools-
dc.subject.keywordPlusNetworking systems-
dc.subject.keywordPlusPacket generations-
dc.subject.keywordPlusPerformance factors-
dc.subject.keywordPlusPrecise measurements-
dc.subject.keywordPlusField programmable gate arrays (FPGA)-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryComputer Science, Hardware & Architecture-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Information Technology > Department of Smart Systems Software > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Lee, Kilho photo

Lee, Kilho
College of Information Technology (Department of AI Convergence)
Read more

Altmetrics

Total Views & Downloads

BROWSE