Moara: flexible and scalable group-based querying system
Proceedings of the 9th ACM/IFIP/USENIX International Conference on Middleware
Adaptive Peer Sampling with Newscast
Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
Topology aware feedback transmission for real-time control protocol
Journal of Network and Computer Applications
Self-adaptive approximate queries for large-scale information aggregation
International Journal of Web and Grid Services
Decentralized monitoring in peer-to-peer systems
Benchmarking Peer-to-Peer Systems
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Current aggregation systems either have a single inbuilt aggregation mechanism or require applications to specify an aggregation policy a priori. It is hard to predict the read and write access patterns in large systems and hence applications built on such systems suffer from inefficient network usage. We present Shruti, a system that demonstrates a general approach for self-tuning the aggregation aggressiveness to the measured workload in the system, thus optimizing the overall communication costs (e.g., the number of messages exchanged on read and write operations).