Deployment of Live Audio Services on FTTx Networks

Most live audio/video services deliver information which is produced just-in-time; thus, the deployment of these services is very challenging: there is never a second chance to broadcast the contents. Therefore, aspects such as the selection of the most suitable architecture or the impact of the underlying network technology need to be carefully studied. This chapter presents an evaluation of different architectures that may be used to deploy a live audio service on cable networks. This evaluation has been performed thanks to the development of a model of a real service that accurately reflects the behavior of the users, devices, and protocols involved in the service. The results of the evaluations can be applied to any deployment planned on a real cable network.

[1]  A. Mena,et al.  An empirical study of real audio traffic , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[2]  Y. Yoshimura,et al.  A QoS monitoring method for video streaming service based on presentation-timeline detection at user clients , 2004, APCC/MDMC '04. The 2004 Joint Conference of the 10th Asia-Pacific Conference on Communications and the 5th International Symposium on Multi-Dimensional Mobile Communications Proceeding.

[3]  Kashif Nisar Fourth Stage of Voice Priority Queue for VoIP over WLANs , 2012, Int. J. Interdiscip. Telecommun. Netw..

[4]  Ludmila Cherkasova,et al.  Analysis of enterprise media server workloads: access patterns, locality, content evolution, and rates of change , 2004, IEEE/ACM Transactions on Networking.

[5]  Yogesh Dwivedi Adoption, Usage, and Global Impact of Broadband Technologies: Diffusion, Practice and Policy [EDITED BOOK], , 2010 .

[6]  Naima Kaabouch,et al.  Handbook of Research on Software-Defined and Cognitive Radio Technologies for Dynamic Spectrum Management , 2014 .

[7]  Azer Bestavros,et al.  GISMO: a Generator of Internet Streaming Media Objects and workloads , 2001, PERV.

[8]  Aggelos K. Katsaggelos,et al.  Maximizing user utility in video streaming applications , 2003, IEEE Trans. Circuits Syst. Video Technol..

[9]  Samir Chatterjee,et al.  International Journal of Business Data Communications and Networking , 2010 .

[10]  Yunhao Liu,et al.  AnySee: Peer-to-Peer Live Streaming , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[11]  Xabiel G. Pañeda,et al.  Characterization of a Real Internet Radio Service , 2006, 32nd EUROMICRO Conference on Software Engineering and Advanced Applications (EUROMICRO'06).

[12]  Xabiel G. Pañeda,et al.  A Methodology for Performance, Content Analysis, and Configuration of Audio/Video-on-Demand Services , 2007, Int. J. Bus. Data Commun. Netw..

[13]  Xabiel G. Pañeda,et al.  A Methodology for the Deployment of Live Audio and Video Services , 2016, SIGMAP.

[14]  Ítalo S. Cunha,et al.  Analyzing client interactivity in streaming media , 2004, WWW '04.

[15]  Eric Brewer,et al.  Scattercast: an architecture for internet broadcast distribution as an infrastructure service , 2000 .

[16]  Rahmat Budiarto,et al.  Access Network Selection in a 4G Environment , 2014 .

[17]  B.G. Stewart,et al.  A Comprehensive Performance Study of OPNET Modeler for ZigBee Wireless Sensor Networks , 2009, 2009 Third International Conference on Next Generation Mobile Applications, Services and Technologies.

[18]  Bruce M. Maggs,et al.  An analysis of live streaming workloads on the internet , 2004, IMC '04.

[19]  Jacobus Van der Merwe,et al.  Streaming Video Traffic : Characterization and Network Impact , 2002 .

[20]  Keith W. Ross,et al.  A Measurement Study of a Large-Scale P2P IPTV System , 2007, IEEE Transactions on Multimedia.

[21]  Gianluca Cornetta,et al.  Wireless Radio-Frequency Standards and System Design: Advanced Techniques , 2012 .

[22]  Bruce M. Maggs,et al.  The feasibility of supporting large-scale live streaming applications with dynamic application end-points , 2004, SIGCOMM 2004.

[23]  Antonio Iera,et al.  A Game Theoretic Approach to Guarantee Fairness in Cooperation Among Green Mobile Network Operators , 2013, Int. J. Bus. Data Commun. Netw..

[24]  Jaap Gordijn,et al.  Exploring Web services from a business value perspective , 2005, 13th IEEE International Conference on Requirements Engineering (RE'05).

[25]  Virgílio A. F. Almeida,et al.  A hierarchical characterization of a live streaming media workload , 2006, TNET.

[26]  Bharat K. Bhargava,et al.  On peer-to-peer media streaming , 2002, Proceedings 22nd International Conference on Distributed Computing Systems.

[27]  Chong-Sun Hwang,et al.  A Study on the Performance of IPv6-Based Mobility Protocols: Mobile IPv6 vs. Hierarchical Mobile IPv6 , 2005, Int. J. Bus. Data Commun. Netw..

[28]  Jaap Gordijn,et al.  E-service design using i* and e/sup 3/ value modeling , 2006, IEEE Software.

[29]  Devarajan Gopal,et al.  Self-Similarity and Internet Performance , 2006, J. Res. Pract. Inf. Technol..

[30]  Helen J. Wang,et al.  Distributing streaming media content using cooperative networking , 2002, NOSSDAV '02.

[31]  Carey Williamson,et al.  Measurement study of RealMedia streaming traffic , 2002, SPIE ITCom.

[32]  Bronwyn Howell Strategic Interaction under Asymmetric Regulation: The Case of New Zealand , 2011 .