STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
Chord: A scalable peer-to-peer lookup service for internet applications
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Wide-area cooperative storage with CFS
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Analysis of the evolution of peer-to-peer systems
Proceedings of the twenty-first annual symposium on Principles of distributed computing
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
Application-Level Multicast Using Content-Addressable Networks
NGC '01 Proceedings of the Third International COST264 Workshop on Networked Group Communication
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
Tapestry: An Infrastructure for Fault-tolerant Wide-area Location and
Tapestry: An Infrastructure for Fault-tolerant Wide-area Location and
Measuring and analyzing the characteristics of Napster and Gnutella hosts
Multimedia Systems
ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
A statistical theory of chord under churn
IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
Comparing the performance of distributed hash tables under churn
IPTPS'04 Proceedings of the Third international conference on Peer-to-Peer Systems
Scribe: a large-scale and decentralized application-level multicast infrastructure
IEEE Journal on Selected Areas in Communications
Estimating churn in structured P2P networks
ITC20'07 Proceedings of the 20th international teletraffic conference on Managing traffic performance in converged networks
Still Alive: Extending Keep-Alive Intervals in P2P Overlay Networks
Mobile Networks and Applications
Self-adaptive approximate queries for large-scale information aggregation
International Journal of Web and Grid Services
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Distributed Hash Tables (DHT) algorithms obtain good lookup performance bounds by using deterministic rules to organize peer nodes into an overlay network. To preserve the invariants of the overlay network, DHTs use stabilization procedures that reorganize the topology graph when participating nodes join or fail. Most DHTs use periodic stabilization, in which peers perform stabilization at fixed intervals of time, disregarding the rate of change in overlay topology; this may lead to poor performance and large stabilization-induced communication overhead. We propose a novel adaptive stabilization framework that takes into consideration the continuous evolution in network conditions. Each peer collects statistical data about the network and dynamically adjusts its stabilization rate based on the analysis of the data. The objective of our scheme is to maintain nominal network performance and to minimize the communication overhead of stabilization.