Characterization of a Real Internet Radio Service

The increase in the number of Web-pages where links to Internet-radios are offered has made these services one of the most popular in nowadays Internet. This popularity has motivated the interest of the scientific community and a lot of research has been carried out in order to improve and study these services. This paper presents the analysis of the Internet-radio hosted by the www.asturies.com digital newspaper. The study has been performed thanks to a log database stored over a period of almost two years. The traffic between every service device has been studied and different elements about users' behaviour have been analyzed. The conclusions are essential to improve the configuration of one of these services. Service models for Internet-radio services can be developed and help managers to test different configurations or predict future situations, avoiding problems in advance

[1]  Mark Claypool,et al.  An empirical study of realvideo performance across the internet , 2001, IMW '01.

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

[3]  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.

[4]  Xabiel G. Pañeda,et al.  User behavior analysis of a video-on-demand service with a wide variety of subjects and lengths , 2005 .

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

[6]  Xabiel G. Pañeda,et al.  User behavior analysis of a video-on-demand service with a wide variety of subjects and lengths , 2005, 31st EUROMICRO Conference on Software Engineering and Advanced Applications.

[7]  Henning Schulzrinne,et al.  Real Time Streaming Protocol (RTSP) , 1998, RFC.

[8]  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).

[9]  Francisco J. Suárez,et al.  Evaluation of Video Server Capacity with Regard to Quality of the Service in Interactive News-On-Demand Systems , 2002, IDMS/PROMS.

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

[11]  C. Costa,et al.  GENIUS: a generator of interactive user media sessions , 2004, IEEE International Workshop on Workload Characterization, 2004. WWC-7. 2004.

[12]  Xabiel G. Pañeda,et al.  Analysis Tool for a Video-on-Demand Service Based in Streaming Technology , 2003, HSNMC.

[13]  Hayder Radha,et al.  Measurement study of low-bitrate internet video streaming , 2001, IMW '01.

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

[15]  Amin Vahdat,et al.  MediSyn: a synthetic streaming media service workload generator , 2003, NOSSDAV '03.

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

[17]  Alec Wolman,et al.  Measurement and Analysis of a Streaming Media Workload , 2001, USITS.

[18]  Mary K. Vernon,et al.  Analysis of educational media server workloads , 2001, NOSSDAV '01.

[19]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .