Source vs Data-driven Approach for Live P2P Streaming
ICNICONSMCL '06 Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies
On neighbor-selection strategy in hybrid peer-to-peer networks
Future Generation Computer Systems - Systems performance analysis and evaluation
Building heterogeneous peer-to-peer networks: protocol and analysis
IEEE/ACM Transactions on Networking (TON)
A Multi-Source Streaming Model for Mobile Peer-to-Peer (P2P) Overlay Networks
ICDCSW '08 Proceedings of the 2008 The 28th International Conference on Distributed Computing Systems Workshops
DEUS: a discrete event universal simulator
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
P2P-based mobile IPTV: Challenges and opportunities
AICCSA '08 Proceedings of the 2008 IEEE/ACS International Conference on Computer Systems and Applications
Multi-objective peer-to-peer neighbor-selection strategy using genetic algorithm
HiPC'07 Proceedings of the 14th international conference on High performance computing
Coolstreaming: Design, Theory, and Practice
IEEE Transactions on Multimedia
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The peer-to-peer paradigm potentially enables low-cost and highly scalable distributed systems where user nodes have at the same time the roles of consumer and provider of resources. Nowadays, the computational power and storage capacity of mobile devices has notably increased, for which their inclusion in the physical network that supports P2P overlays can be realistically considered. For those applications where the quality of service is a fundamental constraint, such as live streaming, it is important to have overlay network level strategies to dynamically re-configure the active connections among peers. In this paper we propose a simple but effective strategy for the evaluation of neighbors, taking into account their capabilities, to support the dynamic selection of resource providers. We apply the formal framework to P2P Internet Live Streaming, simulating three realistic scenarios and discussing the results.