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A comparison of solutions to measure Quality of Service for video streams
KTH, School of Technology and Health (STH), Medical Engineering, Computer and Electronic Engineering.
KTH, School of Technology and Health (STH), Medical Engineering, Computer and Electronic Engineering.
2016 (English)Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesisAlternative title
En jämförelse mellan lösningar för att mäta tjänstekvalitet av videoströmmar (Swedish)
Abstract [en]

There are more and more people watching video streams over the Internet, and this has led to an increase in companies that compete for viewers. To improve the users experience, these companies can measure how their services are performing. The aim of this thesis was to recommend a way to measure the quality of service for a real time video streaming service. Three methods were presented; to buy the information from a content delivery network, extend existing analytics software or build a custom solution using packet sniffing. It was decided to extend existing analytics software. An evaluation was made on which software to extend. Four solutions were compared: Google Analytics, Mixpanel, Ooyala IQ and Piwik. The comparison was made using the analytic hierarchy process, comparing each alternative in their performance in criteria such as API maturity, flexibility, visualization and support. The recommended software to extend when building a real time video streaming service is Ooyala IQ which excel at flexibility and is easy to implement into existing solutions. It also had great capacity, offering no limit on how many events it can track per month, and finally it offers great dedicated support via telephone or email.

Abstract [sv]

Det finns fler och fler personer som tittar på video strömmar på Internet, detta har lett till att nya företag har startats som konkurerar om tittare. För att förbättra kundupplevelsen kan man mäta hur tjänsten presterar. Målet med examensarbetet var att rekommendera hur man kan mäta tjänstekvalite för en realtidsvideoströmningstjänst. Tre olika lösningsförslag presenterades; att köpa informationen från en content delivery network, att bygga vidare på tillgängliga analytisk mjukvara eller att bygga ett eget paketsniffarprogram. Det bestämdes att bygga vidare på tillgänglig analytisk mjukvara. Fyra olika mjukvara jämfördes: Google Analytics, Mixpanel, Ooyala IQ och Piwik. Jämförelsen gjordes med hjälp av analytical hierarchy process, de olika alternativen jämfördes med avseende på: hur moget API:et var, flexibilitet, visualiseringen av data och support. Rekommendationen är att använda sig av Ooyala IQ som utmärker sig med avseende på flexibilitet, det var enkelt att använda deras API i sin egen lösning, det fanns ingen gräns på hur många händelser man kunde lagra per månad, och slutligen så fanns det dedikerad supportpersonal att nå via telefon eller email.

Place, publisher, year, edition, pages
2016. , 54 p.
TRITA-STH, 2016:50
Keyword [en]
analytic hierarchy process, ahp, analytics tools, google analytics, live video streaming, mixpanel, piwik, ooyala iq, quality of service, qos
Keyword [sv]
analytic hierarchy process, ahp, analytics verktyg, google analytics, live video strömning, mixpanel, piwik, ooyala iq, tjänstekvalitet, qos
National Category
Software Engineering
URN: urn:nbn:se:kth:diva-188514OAI: diva2:935724
External cooperation
Znipe Esports AB
Subject / course
Computer Technology and Software Engineering
Educational program
Bachelor of Science in Engineering - Computer Engineering
Available from: 2016-09-29 Created: 2016-06-12 Last updated: 2016-09-29Bibliographically approved

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