Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
DNS performance and the effectiveness of caching
IEEE/ACM Transactions on Networking (TON)
Serving DNS Using a Peer-to-Peer Lookup Service
IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
FPN: A Distributed Hash Table for Commercial Applications
HPDC '04 Proceedings of the 13th IEEE International Symposium on High Performance Distributed Computing
Autonomic Peer-to-Peer Service Directory
IEICE - Transactions on Information and Systems
Clearing algorithms for barter exchange markets: enabling nationwide kidney exchanges
Proceedings of the 8th ACM conference on Electronic commerce
Beehive: O(1)lookup performance for power-law query distributions in peer-to-peer overlays
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
Beehive: O(1)lookup performance for power-law query distributions in peer-to-peer overlays
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
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The allocation of resources amongst a set of autonomous entities with contradicting interests is a recurring and relevant theme in distributed domains. In this paper we present the design, implementation and evaluation of a distributed directory service based on a bartering mechanism in order to improve robustness in data retention. A directory service maps the names of network resources to their respective network addresses. A distributed directory service maintains this information not at a single node in a network, but across many nodes. The major challenge addressed in this paper is to build a workable system which not only responds to queries from users but A) ensures that directory items are never lost in the system and B) optimizes query response time with respect to different patterns of query arrival.