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Estimating Available Bandwidth on Access Links by Means of Stratified 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 Electrical Energy, ISSN 2301-3656, Vol. 1, no 4, 213-221 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a novel approach for estimation of available bandwidth on access links using stratified probing. The main challenges of performing such estimations in this network part is related to the bursty nature of cross-traffic and the related uncertainty regarding appropriate time period for producing sample estimates. Under the fluid flow traffic model assumption, these problems would not be present – but for the access network part this assumption does not hold. The method suggested in this paper is based on a four-phase approach. In the first phase a traffic profile for the cross-traffic is established, with focus on detecting periodic behavior and duration of respectively burst and idle sub-periods. In the second and third phase, the active probing is split into strata and synchronized according to the burst/idle sub periods. In the final phase, the actual probing and estimation of available bandwidth takes place. The method is analyzed by means of experiments in a controlled lab environment, using adaptive video streaming as the service with a periodical behavior. The empirical results are considered quite promising both in terms of accuracy and the low degree of intrusiveness facilitated by the stratified approach.

Place, publisher, year, edition, pages
ETPublishing , 2013. Vol. 1, no 4, 213-221 p.
URN: urn:nbn:no:ntnu:diva-24767DOI: 10.12720/ijoee.1.4.213-221OAI: diva2:719810
The 6th International Conference on Computer and Electrical Engineering ICCEE 2013

Copyright © 2012-2014 Engineering and Technology Publishing, All Rights Reserved

Available from: 2014-05-27 Created: 2014-05-26 Last updated: 2014-06-11Bibliographically 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

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