Pixie: A Jukebox Architecture to Support Efficient 
Peer Content Exchange

Sami Rollins and Kevin C. Almeroth
Department of Computer Science       
University of California            
Santa Barbara, California 93016-5110
{srollins, almeroth}@cs.ucsb.edu                


Peer-to-peer (P2P) content exchange has recently gained attention from both 
the research and industrial communities.  The dynamic nature of peer networks 
and the resource constraints of peer hosts have introduced a host of unique 
technical challenges that must be addressed to make large-scale P2P content 
exchange applications viable.  In this work, we present and evaluate Pixie, 
an architecture that integrates one-to-many distribution of content and peer 
networks.  Pixie provides a valuable data location service as well as a 
number of scalability properties both in terms of data location and content 
distribution.  Our results indicate that, using a one-to-many scheme, we can 
significantly reduce the resources consumed in searching for and distributing 
content across peer networks.  These scalability properties will become 
increasingly important as peer content exchange is extended to support more 
advanced applications.