Speeding up search in peer-to-peer networks with a multi-way tree structure
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
The state of peer-to-peer simulators and simulations
ACM SIGCOMM Computer Communication Review
Towards personalized distributed information retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
The adaptive web: methods and strategies of web personalization
The adaptive web: methods and strategies of web personalization
Extracting user profiles from large scale data
Proceedings of the 2010 Workshop on Massive Data Analytics on the Cloud
Proceedings of the 29th ACM SIGACT-SIGOPS symposium on Principles of distributed computing
Constrained Skyline Query Processing against Distributed Data Sites
IEEE Transactions on Knowledge and Data Engineering
Interweaving public user profiles on the web
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
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In this paper we present a distributed framework that supports customized deployment of a variety of indexing engines over million-node overlays. The key aim is to provide the appropriate integrated set of tools that allows numerous applications with large-scale, different requirements to evaluate and test the performance of various application protocols for very large scale deployments (multi million nodes - billions of keys). Using lightweight and efficient collection mechanisms, our system enables real-time registration of multiple measures, integrating support for real-life parameters such as node failure models and recovery strategies. Experiments have been performed at the PlanetLab network and at a typical research laboratory in order to verify scalability and show maximum re-usability of our setup.