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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F11%3A00049902%21RIV12-MV0-14330___
rdf:type
skos:Concept n7:Vysledek
dcterms:description
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. 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.
dcterms:title
On Investigating Scalability and Robustness in a Self-organizing Retrieval System On Investigating Scalability and Robustness in a Self-organizing Retrieval System
skos:prefLabel
On Investigating Scalability and Robustness in a Self-organizing Retrieval System On Investigating Scalability and Robustness in a Self-organizing Retrieval System
skos:notation
RIV/00216224:14330/11:00049902!RIV12-MV0-14330___
n7:predkladatel
n8:orjk%3A14330
n4:aktivita
n13:P
n4:aktivity
P(GA201/09/0683), P(GAP103/10/0886), P(VF20102014004)
n4:dodaniDat
n10:2012
n4:domaciTvurceVysledku
n12:3165647 n12:5763835 n12:3540324
n4:druhVysledku
n15:D
n4:duvernostUdaju
n22:S
n4:entitaPredkladatele
n18:predkladatel
n4:idSjednocenehoVysledku
218054
n4:idVysledku
RIV/00216224:14330/11:00049902
n4:jazykVysledku
n14:eng
n4:klicovaSlova
similarity search; scalability; robustness; self-organization
n4:klicoveSlovo
n11:robustness n11:similarity%20search n11:scalability n11:self-organization
n4:kontrolniKodProRIV
[F1A7262E1467]
n4:mistoKonaniAkce
Glasgow, Scotland, UK
n4:mistoVydani
New York, NY 10087-0777
n4:nazevZdroje
Proceedings of CIKM 2011 and the co-located Workshops
n4:obor
n17:IN
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
3
n4:projekt
n9:VF20102014004 n9:GAP103%2F10%2F0886 n9:GA201%2F09%2F0683
n4:rokUplatneniVysledku
n10:2011
n4:tvurceVysledku
Sedmidubský, Jan Zezula, Pavel Dohnal, Vlastislav
n4:typAkce
n21:WRD
n4:zahajeniAkce
2011-01-01+01:00
s:numberOfPages
6
n19:hasPublisher
ACM Digital Library
n5:isbn
978-1-4503-0717-8
n20:organizacniJednotka
14330