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Accurate Traffic Generation in the CheesePi Network
KTH, School of Information and Communication Technology (ICT).
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Generating traffic to characterize large capacity network links with high accuracy in transport backbones is important for Internet service providers. Using a network application (Iperf) to measure throughput (and indirectly congestion) on links within a network can be used to perform traffic engineering. Using short bursts at high utilisation can ascertain whether a connection can support capacity sensitive applications, such as video streaming. Repeating the process to capture day-night effects can categorise links for management decisions.

CheesePi is an Internet quality monitoring system that aims to characterise the services obtained from the home Internet connections of the users and establish an open measurement infrastructure in Sweden. The thesis evaluates a study of performance and characterization of network links within the CheesePi network at high data rates (Gbits/sec) and will extend the work done in the CheesePi software base.

Abstract [sv]

Att kunna generera trafik för karakterisering av stora nätförbindensler med hög noggrannhet är en mycket viktigt faktor för internetleverantörer. Med hjälp av en nätverksapplikation (Iperf) så kan man mäta bithastigheten samt den indirekta överbelastningen på länkar i ett nätverk. Man kan även mäta performansen av nätet för ytterligare analys. Genom att ha intensiv trafik i korta perioder så kan man få ett hum om en uppkoppling kan stödja kapacitets känsliga applikationer så som videouppspelning. I och med att internet användningen varierar så kan man även kategorisera länkarna ytterligare så som dag och natt performansen.

CheesePi är ett övervakningssystem som försäkrar kvaliteten och karakteriserarde tjänster som erhållits för hemanslutningar samt infrastrukturs mätningar i Sverige. Examensarbetet utvärderar prestandan och karakteriseringen av nätförbindelser med hög datahastighet (Gigabit/sec) igenom att använda CheesePi programvaran.

Place, publisher, year, edition, pages
2016. , p. 64
Series
TRITA-ICT-EX ; 2016:192
Keywords [en]
Network characterization, Traffic generation, Throughput estimation
Keywords [sv]
Nätverkskarakterisering, Trafikgenerering, Genomströmningsuppskattning
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-204594OAI: oai:DiVA.org:kth-204594DiVA, id: diva2:1085428
External cooperation
Swedish ICT
Subject / course
Electrical Engineering
Educational program
Master of Science - Embedded Systems
Supervisors
Examiners
Available from: 2017-03-29 Created: 2017-03-29 Last updated: 2017-04-25Bibliographically approved

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