On network-aware clustering of Web clients
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Analyzing peer-to-peer traffic across large networks
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Measurement, modeling, and analysis of a peer-to-peer file-sharing workload
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
Tracking anonymous peer-to-peer VoIP calls on the internet
Proceedings of the 12th ACM conference on Computer and communications security
Minimizing churn in distributed systems
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Quantifying Skype user satisfaction
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Usage-based dhcp lease time optimization
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Measurements and mitigation of peer-to-peer-based botnets: a case study on storm worm
LEET'08 Proceedings of the 1st Usenix Workshop on Large-Scale Exploits and Emergent Threats
An Experimental Investigation of the Congestion Control Used by Skype VoIP
WWIC '07 Proceedings of the 5th international conference on Wired/Wireless Internet Communications
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The heart of skype services, one of the most ubiquitous P2P networks, is based on a set of super nodes. Choosing stable SNs is an important task, since it improves the whole performance and quality of the P2P network [1, 2]. In this paper we shed light on the life cycle of SNs using extensive data sets on Skype Super nodes, which were gathered over a period of 3 months. We then suggest how to choose a more stable SNs set. The dynamic of nodes is inherent to the use of a computer, which is unplugged for some time or is mobile. Hence it is natural to predict that a Super Node would have multiple sessions correlated with the time the computer is up. Surprisingly, we show that 40% of the Super Nodes have only one session, with median residual life time of 1.75 days. These nodes also have a significantly shorter lifespan than Super Nodes that have multiple sessions, which have median residual life time of 67.5 days. We propose and give evidence that nodes with one session are nodes with dynamic IP addresses, and hence they have ended their life cycle due to a change of IP address. We show that the nodes with multiple sessions are mostly nodes with static IPs, and that choosing super nodes with static IPs would increase the availability and stability of the P2P network significantly.