Practical selectivity estimation through adaptive sampling
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
Error-constrained COUNT query evaluation in relational databases
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
Sequential sampling procedures for query size estimation
SIGMOD '92 Proceedings of the 1992 ACM SIGMOD international conference on Management of data
Random sampling for histogram construction: how much is enough?
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Statistical estimators for relational algebra expressions
Proceedings of the seventh ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Towards estimation error guarantees for distinct values
PODS '00 Proceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Search and replication in unstructured peer-to-peer networks
ICS '02 Proceedings of the 16th international conference on Supercomputing
Overcoming Limitations of Sampling for Aggregation Queries
Proceedings of the 17th International Conference on Data Engineering
Approximating Aggregate Queries about Web Pages via Random Walks
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Sampling-Based Estimation of the Number of Distinct Values of an Attribute
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Dynamic sample selection for approximate query processing
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
[15] Peer-to-Peer Architecture Case Study: Gnutella Network
P2P '01 Proceedings of the First International Conference on Peer-to-Peer Computing
Gossip-Based Computation of Aggregate Information
FOCS '03 Proceedings of the 44th Annual IEEE Symposium on Foundations of Computer Science
Effective use of block-level sampling in statistics estimation
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Proceedings of the twenty-third annual ACM symposium on Principles of distributed computing
A survey of peer-to-peer content distribution technologies
ACM Computing Surveys (CSUR)
Distributed Uniform Sampling in Unstructured Peer-to-Peer Networks
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 09
Counting at Large: Efficient Cardinality Estimation in Internet-Scale Data Networks
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Random sampling from a search engine's index
Proceedings of the 15th international conference on World Wide Web
Random walks in peer-to-peer networks: algorithms and evaluation
Performance Evaluation - P2P computing systems
Random walk based node sampling in self-organizing networks
ACM SIGOPS Operating Systems Review
On unbiased sampling for unstructured peer-to-peer networks
Proceedings of the 6th ACM SIGCOMM conference on Internet measurement
Online balancing of range-partitioned data with applications to peer-to-peer systems
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Clustering in peer-to-peer file sharing workloads
IPTPS'04 Proceedings of the Third international conference on Peer-to-Peer Systems
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Peer-to-Peer networks have become very popular on the Internet, with millions of peers all over the world sharing large volumes of data. In the assistive healthcare sector, it is likely that P2P networks will develop that interconnect and allow the controlled sharing of patient databases of various hospitals, clinics, and research laboratories. However, the sheer scale of these networks has made it difficult to gather statistics that could be used for building new features. In this paper, we present a technique to obtain estimations of the number of distinct values matching a query on the network. We evaluate the technique experimentally and provide a set of results that demonstrate its effectiveness, as well as its flexibility in supporting a variety of queries and applications.