Three highly available data streaming techniques and their tradeoffs

Authors:
Sumita Barahmand;Shahram Ghandeharizadeh;Anurag Ojha;Jason Yap
Affiliations:
University of Southern California, Los Angeles, CA, USA;University of Southern California, Los Angeles, CA, USA;University of Southern California, Los Angeles, CA, USA;University of Southern California, Los Angeles, CA, USA
Venue:
Proceedings of the 2010 ACM workshop on Advanced video streaming techniques for peer-to-peer networks and social networking
Year:
2010

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Abstract

The Recall All Your Senses (RAYS) project envisions a social networking system that empowers its users to store, retrieve, and share data produced by streaming devices. An example device is the popular Apple iPhone that produces continuous media, audio and video clips. This paper focuses on the stream manager of RAYS, RAYS-SM, and its peer-to-peer overlay network. For a request that streams data from a device, RAYS-SM initiates more than one stream in order to minimize loss of data when nodes in its network fail. We present the design of 3 data availability techniques, quantifying their throughput and Mean Time To Data Loss (MTTDL). These two metrics highlight the tradeoff between the resource usage of each technique during normal mode of operation in order to minimize loss of data in the presence of node failures.