Leveraging Social-Network Infrastructure to Improve Peer-to-Peer Overlay Performance: Results from Orkut

Computer Science – Networking and Internet Architecture

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

9 pages 8 figures

Scientific paper

Application-level peer-to-peer (P2P) network overlays are an emerging paradigm that facilitates decentralization and flexibility in the scalable deployment of applications such as group communication, content delivery, and data sharing. However the construction of the overlay graph topology optimized for low latency, low link and node stress and lookup performance is still an open problem. We present a design of an overlay constructed on top of a social network and show that it gives a sizable improvement in lookups, average round-trip delay and scalability as opposed to other overlay topologies. We build our overlay on top of the topology of a popular real-world social network namely Orkut. We show Orkuts suitability for our purposes by evaluating the clustering behavior of its graph structure and the socializing pattern of its members.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Leveraging Social-Network Infrastructure to Improve Peer-to-Peer Overlay Performance: Results from Orkut does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Leveraging Social-Network Infrastructure to Improve Peer-to-Peer Overlay Performance: Results from Orkut, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Leveraging Social-Network Infrastructure to Improve Peer-to-Peer Overlay Performance: Results from Orkut will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-459660

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.