Change search
ReferencesLink to record
Permanent link

Direct link
Detecting Period and Burst Durations in Video Streaming by means of Active Probing
Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, Department of Telematics.
Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, Department of Telematics.
2013 (English)In: International Journal of Computer and Communication Engineering, ISSN 2010-3743, Vol. 2, no 4, 460-467 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a method for detecting periodic behavior and burst durations in IP traffic observed on access links. Periodic behavior in traffic observed on the Internet is growing due to the increasing amount of services with video components. The method is based on active probing and serial correlation of the observed probe packet inter-arrival times on the receiver side. Verification of the method is done based on an experimental implementation, using both controlled lab services and live public services. The services used in the experiments are adaptive video streaming based on Microsoft Smooth Streaming and Netflix. The results show that the method provides accurate results for both the estimator of service period and the burst durations. The findings are similar both for the controlled lab experiments and the live network measurements. The amount of probe traffic required in order for the method to perform satisfactory is very moderate.

Place, publisher, year, edition, pages
IACSIT Press , 2013. Vol. 2, no 4, 460-467 p.
URN: urn:nbn:no:ntnu:diva-24772DOI: 10.7763/IJCCE.2013.V2.227OAI: diva2:719918
The 3rd International Conference on Computer Communication andManagement (ICCCM 2013) May. 19-20, 2013, Copenhagen, Denmark.

This work is licensed under CC-BY-SA

Available from: 2014-05-27 Created: 2014-05-27 Last updated: 2014-05-27Bibliographically approved
In thesis
1. Enhancing Quality Aspects of Adaptive Video Streamingin Home Networks
Open this publication in new window or tab >>Enhancing Quality Aspects of Adaptive Video Streamingin Home Networks
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The growth of broadband Internet access across the world for the last 10 years has made new business models possible. Services which before mainly were provided by network operators and in dedicated networks have now migrated to the open Internet. This has created a global service provider market, using the Internet as platform. The network operators are in many cases left with only providing the broadband access service. For the global service providers, continuous effort is put into the field of finding smart methods for bringing new and advanced services to the market without asking for e.g. QoS features from the involved network operators. This type of service delivery is called Over-The-Top (OTT). The concept of making services able to adapt their network and transport requirements during time of delivery is a strong contribution to success for OTT services.

The focus of the work in this thesis, is methods for improving various aspects - as defined by my research questions - related to QoS and potentially also QoE for dynamic adaptive video streaming over HTTP (DASH) services. The motivation for focusing on video services is based on their high QoS requirements (i.e. bandwidth) and also popularity in terms of usage.

In the work presented in this thesis, I have studied the behaviour and performance of DASH services by means of simulations, measurements and experiments. Based on insight obtained through this, I established a hypothesis on how QoS and QoE aspects could be improved for users present in the same home network environment. My hypothesis was that making more accurate information available about both services and network conditions in near real-time could facilitate improved control methods. The effectiveness of my suggested methods have in most cases been analysed by means of implementation in an experimental lab scenario, and supported by simulations and analytical approaches when appropriate.

The findings presented in the included papers are all closely related and map into the research model used. This model is composed of Knowledge Plane, Monitor Plane and Action plane components located in both service endpoints and involved network components. As my main focus has been on OTT service delivery, the main contributions of my work apply to service endpoints, i.e. components in the home network and on the server side. The server side would in many cases be represented by a Content Delivery Network (CDN) node.

The main research questions identified are:

RQ1: In a home network how to (autonomously) control the performance of DASH based services.

RQ2: How to provide fairness and stability for competing DASH sessions using service endpoint functionality.

RQ3: How to choose appropriate quality levels for a DASH session.

The main contributions from my research are:

C1: A method for controlling the quality levels of DASH in the home gateway.

C2: A method for improving fairness among competing DASH sessions.

C3: A method for shaping traffic aggregates on access links with DASH components.

C4: A method for estimating available bandwidth on access links when DASH sessions are present.

Place, publisher, year, edition, pages
NTNU: , 2014
Doctoral theses at NTNU, ISSN 1503-8181 ; 2014:13
National Category
urn:nbn:no:ntnu:diva-24724 (URN)978-82-471-4935-5 (printed ver.) (ISBN)978-82-471-4936-2 (electronic ver.) (ISBN)
Public defence
2014-05-13, 13:15
Available from: 2014-05-20 Created: 2014-05-20 Last updated: 2014-06-10Bibliographically approved

Open Access in DiVA

fulltext(1040 kB)245 downloads
File information
File name FULLTEXT01.pdfFile size 1040 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full text
By organisation
Department of Telematics

Search outside of DiVA

GoogleGoogle Scholar
Total: 245 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 284 hits
ReferencesLink to record
Permanent link

Direct link