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@inproceedings{946967,
author = {Sedmidubský, Jan and Dohnal, Vlastislav and Zezula, Pavel},
address = {New York, NY 10087-0777},
booktitle = {Proceedings of CIKM 2011 and the co-located Workshops},
keywords = {similarity search; scalability; robustness; self-organization},
howpublished = {tištěná verze "print"},
language = {eng},
location = {New York, NY 10087-0777},
isbn = {978-1-4503-0717-8},
pages = {33-38},
publisher = {ACM Digital Library},
title = {On Investigating Scalability and Robustness in a Self-organizing Retrieval System},
year = {2011}
}
TY - JOUR
ID - 946967
AU - Sedmidubský, Jan - Dohnal, Vlastislav - Zezula, Pavel
PY - 2011
TI - On Investigating Scalability and Robustness in a Self-organizing Retrieval System
PB - ACM Digital Library
CY - New York, NY 10087-0777
SN - 9781450307178
KW - similarity search
KW - scalability
KW - robustness
KW - self-organization
N2 - We introduce a self-organizing similarity search system for a large-scale unstructured peer-to-peer network, called the Metric Social Network. This system does not rely on any centralized control and does not define any data clustering or partitioning principle. It combines multiple strategies into a single system which results in abilities to scale to a large number of peers, to adapt to different data distributions, and to be robust to abrupt peer disconnections. We prove these abilities by running various experimental trials on real-life, as well as, synthetic data sets stored on up to 2,000 peers. Additionally, different data distributions among the peers, ranging from clustered to totally non-clustered and real-life data distributions, are also considered.
ER -
SEDMIDUBSKÝ, Jan, Vlastislav DOHNAL and Pavel ZEZULA. On Investigating Scalability and Robustness in a Self-organizing Retrieval System. In \textit{Proceedings of CIKM 2011 and the co-located Workshops}. New York, NY 10087-0777: ACM Digital Library, 2011, p.~33-38. ISBN~978-1-4503-0717-8.
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