IEEE Internet Computing
Mapping the Gnutella Network: Macroscopic Properties of Large-Scale Peer-to-Peer Systems
IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
Measuring and analyzing the characteristics of Napster and Gnutella hosts
Multimedia Systems
Characterizing the query behavior in peer-to-peer file sharing systems
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Understanding churn in peer-to-peer networks
Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
Magellan: Charting Large-Scale Peer-to-Peer Live Streaming Topologies
ICDCS '07 Proceedings of the 27th International Conference on Distributed Computing Systems
Characterizing unstructured overlay topologies in modern P2P file-sharing systems
IEEE/ACM Transactions on Networking (TON)
Affinity P2P: A self-organizing content-based locality-aware collaborative peer-to-peer network
Computer Networks: The International Journal of Computer and Telecommunications Networking
Content delivery and caching from a network provider's perspective
Computer Networks: The International Journal of Computer and Telecommunications Networking
A hierarchical overlay with cluster-based reputation tree for dynamic peer-to-peer systems
Journal of Network and Computer Applications
The cloud is not 'there', we are the cloud!
International Journal of Web and Grid Services
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Knowledge of emergent properties of existing peer-to-peer file-sharing communities can be helpful for the design and implementation of innovative peer-to-peer protocols/services that exploit autonomicity, self-configuration, resilience, scalability, and performance. It is well known that the performance of this class of peer-to-peer applications depends on several parameters that represent the topological structure of the overlay network, the users' behavior, and resource dynamics. Estimation of these parameters is difficult, but it is crucial for analytical models as well as for realistic simulation of peer-to-peer applications. In this paper, we present an active measurement-based study designed to glean insights on the above parameters within the Gnutella network. The measurement software that we developed is able to collect topological information about the overlay network topology in a few minutes; in a second step, it contacts the users discovered during the topological measurement in order to acquire a novel dataset regarding the shared resources.