Delving into internet streaming media delivery: a quality and resource utilization perspective

  • Authors:

  • Lei Guo;Enhua Tan;Songqing Chen;Zhen Xiao;Oliver Spatscheck;Xiaodong Zhang

  • Affiliations:

  • The Ohio State University, Columbus, OH;The Ohio State University, Columbus, OH;George Mason University, Fairfax, VA;IBM T. J. Watson Research Center, Hawthorne, NY;AT&T Labs-Research, Florham Park, NJ;The Ohio State University, Columbus, OH

  • Venue:
  • Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
  • Year:
  • 2006

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Abstract

Modern Internet streaming services have utilized various techniques to improve the quality of streaming media delivery. Despite the characterization of media access patterns and user behaviors in many measurement studies, few studies have focused on the streaming techniques themselves, particularly on the quality of streaming experiences they offer end users and on the resources of the media systems that they consume. In order to gain insights into current streaming services techniques and thus provide guidance on designing resource-efficient and high quality streaming media systems, we have collected a large streaming media workload from thousands of broadband home users and business users hosted by a major ISP, and analyzed the most commonly used streaming techniques such as automatic protocol switch, Fast Streaming, MBR encoding and rate adaptation. Our measurement and analysis results show that with these techniques, current streaming systems these techniques tend to over-utilize CPU and bandwidth resources to provide better services to end users, which may not be a desirable and effective is not necessary the best way to improve the quality of streaming media delivery. Motivated by these results, we propose and evaluate a coordination mechanism that effectively takes advantage of both Fast Streaming and rate adaptation to better utilize the server and Internet resources for streaming quality improvement.