Video traffic analysis on Unifi broadband network / Laina Sofia Mahamad
This research presents Video Traffic Analysis and modeling traffic on UNIFI Broadband Network traffic data. Today's problem identified that network traffic used is increased rapidly especially on the use of streaming videos in multimedia applications. Performance of network in controlling video...
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| Format: | Thesis |
| Language: | English |
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2017
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| Online Access: | https://ir.uitm.edu.my/id/eprint/80191/1/80191.pdf |
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my-uitm-ir.801912023-09-19T07:35:36Z Video traffic analysis on Unifi broadband network / Laina Sofia Mahamad 2017 Mahamad, Laina Sofia This research presents Video Traffic Analysis and modeling traffic on UNIFI Broadband Network traffic data. Today's problem identified that network traffic used is increased rapidly especially on the use of streaming videos in multimedia applications. Performance of network in controlling video traffic is essential in promising Quality of Services (QoS) in a network and reliability of bandwidth used. First, the objective of this research is to analyze videos traffic characteristics and its model based on 10 Mbps UNIFI internet home networks. Secondly, to identify three types of video traffic parameters such as YouTube video, live video on Facebook and online streaming video. These videos are captured based on busy hour time and non busy hour with differences of wired and wireless for six user's connections. Thirdly, to identify best traffic model based on fitted model in developing network traffic bandwidth control algorithms. MatLab Dfittool program is used to analyze and identify the best traffic model. Results presents four top traffic protocols are identified which are Transmission Control Protocol (TCP), User Datagram Protocol (UDP) and Quick UDP Internet Connection (QUIC) protocol when streaming the videos in UNIFI network. Traffic characteristics such as byte flow, maximum and minimum traffic speed bits are presented. One the best fitted traffic models are identified as best models which are Pareto model on difference video type. Hence, with the identified traffic models and its parameters can be used in designing a controller to monitor the committed bandwidth of UNIFI network. This research significant in optimizing the network used for customers and get their QOS in terms of cost and committed access rate. 2017 Thesis https://ir.uitm.edu.my/id/eprint/80191/ https://ir.uitm.edu.my/id/eprint/80191/1/80191.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Kassim, Murizah |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Kassim, Murizah |
| description |
This research presents Video Traffic Analysis and modeling traffic on UNIFI Broadband Network traffic data. Today's problem identified that network traffic used is increased rapidly especially on the use of streaming videos in multimedia applications. Performance of network in controlling video traffic is essential in promising Quality of Services (QoS) in a network and reliability of bandwidth used. First, the objective of this research is to analyze videos traffic characteristics and its model based on 10 Mbps UNIFI internet home networks. Secondly, to identify three types of video traffic parameters such as YouTube video, live video on Facebook and online streaming video. These videos are captured based on busy hour time and non busy hour with differences of wired and wireless for six user's connections. Thirdly, to identify best traffic model based on fitted model in developing network traffic bandwidth control algorithms. MatLab Dfittool program is used to analyze and identify the best traffic model. Results presents four top traffic protocols are identified which are Transmission Control Protocol (TCP), User Datagram Protocol (UDP) and Quick UDP Internet Connection (QUIC) protocol when streaming the videos in UNIFI network. Traffic characteristics such as byte flow, maximum and minimum traffic speed bits are presented. One the best fitted traffic models are identified as best models which are Pareto model on difference video type. Hence, with the identified traffic models and its parameters can be used in designing a controller to monitor the committed bandwidth of UNIFI network. This research significant in optimizing the network used for customers and get their QOS in terms of cost and committed access rate. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Mahamad, Laina Sofia |
| spellingShingle |
Mahamad, Laina Sofia Video traffic analysis on Unifi broadband network / Laina Sofia Mahamad |
| author_facet |
Mahamad, Laina Sofia |
| author_sort |
Mahamad, Laina Sofia |
| title |
Video traffic analysis on Unifi broadband network / Laina Sofia Mahamad |
| title_short |
Video traffic analysis on Unifi broadband network / Laina Sofia Mahamad |
| title_full |
Video traffic analysis on Unifi broadband network / Laina Sofia Mahamad |
| title_fullStr |
Video traffic analysis on Unifi broadband network / Laina Sofia Mahamad |
| title_full_unstemmed |
Video traffic analysis on Unifi broadband network / Laina Sofia Mahamad |
| title_sort |
video traffic analysis on unifi broadband network / laina sofia mahamad |
| granting_institution |
Universiti Teknologi MARA (UiTM) |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
2017 |
| url |
https://ir.uitm.edu.my/id/eprint/80191/1/80191.pdf |
| _version_ |
1783736290989047808 |