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Impacts of Using Programmable Network Architectures on Datastreams
Mälardalen University, School of Innovation, Design and Engineering.
Mälardalen University, School of Innovation, Design and Engineering.
2020 (English)Independent thesis Basic level (degree of Bachelor), 180 HE creditsStudent thesis
Abstract [en]

With an increase of popularity in live video streaming, there are new demands on current networks. Therefore it is interesting to explore if new architectures has what it takes. Software defined networking (SDN) is a new architecture that brings benefits in terms of control and management of networks. In this thesis we explore SDN's capabilities in terms of live streaming and put forth the question: What are the effects of using SDN-based network architecture on data streams with respect to jitter and latency? To answer this question we also need to know how to design an evaluation framework for measuring jitter and latency. We developed two iterations of a live stream, time stamping each video frame. These were used in two similar network topologies, a conventional network and an SDN-network using OpenFlow. The first iteration of the live stream depended on clock synchronization. After inconsistencies between tests we suspected that the clock synchronization was not accurate and reprogrammed the stream. The second iterations showed the same inconsistencies in latency meaning our results were inconclusive due to randomness in operative systems and inconsistencies in time stamping. This work shows several considerations to take into account when measuring latency on an application level in a network environment. Our most distinctive result shows that SDN and conventional networks have comparable jitter.

Place, publisher, year, edition, pages
2020. , p. 36
Keywords [en]
SDN, Software-Defined Networking, Live streaming, Streaming, network performance, OpenFlow
National Category
Engineering and Technology Telecommunications
Identifiers
URN: urn:nbn:se:mdh:diva-47026OAI: oai:DiVA.org:mdh-47026DiVA, id: diva2:1392878
Subject / course
Computer Science
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Available from: 2020-03-16 Created: 2020-02-13 Last updated: 2020-03-16Bibliographically approved

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2627282930313229 of 43
CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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  • Other locale
More languages
Output format
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