7. Peer to Peer Computing


Peer-to-peer (P2P) systems enable computers to share information and other resources with their networked peers, in possibly very large-scale distributed computing environments. The computing environments promoted by the P2P paradigm are inherently decentralized, self-organizing, and self-coordinating. Well-designed P2P systems should be highly adaptive to peer arrivals and departures, highly resilient to failures, tolerant to network performance variations, and scalable to huge numbers of peers (tens of thousands to millions). As P2P research becomes more mature, new challenges emerge to support complex and heterogeneous decentralized environments for sharing and managing data, resources, and knowledge with highly dynamic and unpredictable usage patterns. This topic provides a forum for researchers to present new contributions to P2P systems, technologies, middleware, and applications that address key research issues and challenges.


  • P2P applications and services including large-scale data and knowledge management
  • Convergence between P2P and Grid computing environments/applications
  • P2P systems and infrastructures
  • P2P data management environments
  • P2P algorithms and theory
  • Social and P2P networks
  • Security, privacy and robustness in P2P systems
  • Distributed trust management and reputation in P2P systems
  • Modelling and performance analysis of P2P systems
  • Workload characterization for P2P systems and usage patterns
  • Experience with deployed P2P systems
  • Live and on-demand multimedia content distribution over P2P networks
  • Middleware, programming models, environments and toolkits for P2P
  • Resource and service discovery in P2P systems
  • Convergence between P2P, Web computing and Web services platforms
  • Internet Web-enabled P2P applications and services

Topic committee

Global chair
Ben Zhao University of California, Santa Barbara USA
Vice chair
Adriana Iamnitchi University of South Florida USA
Spyros Voulgaris Vrije Universiteit Amsterdam Netherlands
Christos Gkantsidis Microsoft Research United Kingdom
Local chair
Pawel Garbacki Google Research Switzerland



August 25, 2009
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