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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F14%3A00074741%21RIV15-MSM-14330___
rdf:type
n8:Vysledek skos:Concept
dcterms:description
Scaling Complex Event Processing applications is inherently problematic. Many state of the art techniques for scaling use filtering on producers, vertical scaling, or stratification of an Event Processing Network. The solutions usually aren’t distributed and require centralized coordination. In this paper, we are introducing a technique for scaling Complex Event Processing in a distributed fashion and by taking semantic information of events into account.We are introducing two CEP models for scaling CEP architectures, providing core algorithms, and evaluating their performance. Scaling Complex Event Processing applications is inherently problematic. Many state of the art techniques for scaling use filtering on producers, vertical scaling, or stratification of an Event Processing Network. The solutions usually aren’t distributed and require centralized coordination. In this paper, we are introducing a technique for scaling Complex Event Processing in a distributed fashion and by taking semantic information of events into account.We are introducing two CEP models for scaling CEP architectures, providing core algorithms, and evaluating their performance.
dcterms:title
Semantically Partitioned Peer to Peer Complex Event Processing Semantically Partitioned Peer to Peer Complex Event Processing
skos:prefLabel
Semantically Partitioned Peer to Peer Complex Event Processing Semantically Partitioned Peer to Peer Complex Event Processing
skos:notation
RIV/00216224:14330/14:00074741!RIV15-MSM-14330___
n3:aktivita
n15:P
n3:aktivity
P(LA09016)
n3:dodaniDat
n19:2015
n3:domaciTvurceVysledku
n5:6337392 n5:4366042 n5:8947295
n3:druhVysledku
n12:D
n3:duvernostUdaju
n22:S
n3:entitaPredkladatele
n18:predkladatel
n3:idSjednocenehoVysledku
44385
n3:idVysledku
RIV/00216224:14330/14:00074741
n3:jazykVysledku
n9:eng
n3:klicovaSlova
CEP; SCALABILITY
n3:klicoveSlovo
n6:SCALABILITY n6:CEP
n3:kontrolniKodProRIV
[259482AC9B6C]
n3:mistoKonaniAkce
Praha
n3:mistoVydani
Cham
n3:nazevZdroje
Intelligent Distributed Computing VII. Proceedings of the 7th International Symposium on Intelligent Distributed Computing - IDC 2013, Prague, Czech Republic, September 2013
n3:obor
n4:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n21:LA09016
n3:rokUplatneniVysledku
n19:2014
n3:tvurceVysledku
Tovarňák, Daniel Pitner, Tomáš Nguyen, Filip
n3:typAkce
n10:WRD
n3:zahajeniAkce
2013-01-01+01:00
s:issn
1860-949X
s:numberOfPages
11
n14:doi
10.1007/978-3-319-01571-2_8
n20:hasPublisher
Springer International Publishing Switzerland
n11:isbn
9783319015705
n16:organizacniJednotka
14330