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@inproceedings{1121881,
author = {Tovarňák, Daniel and Nguyen, Filip and Pitner, Tomáš},
address = {Cham},
booktitle = {Intelligent Distributed Computing VII},
doi = {http://dx.doi.org/10.1007/978-3-319-01571-2_11},
editor = {Zavoral, Filip and Jung, Jason J. and Badica, Costin},
keywords = {cloud;monitoring;CEP},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Cham},
isbn = {978-3-319-01570-5},
pages = {87-92},
publisher = {Springer International Publishing Switzerland},
title = {Distributed Event-Driven Model for Intelligent Monitoring of Cloud Datacenters},
year = {2014}
}
TY - JOUR
ID - 1121881
AU - Tovarňák, Daniel - Nguyen, Filip - Pitner, Tomáš
PY - 2014
TI - Distributed Event-Driven Model for Intelligent Monitoring of Cloud Datacenters
PB - Springer International Publishing Switzerland
CY - Cham
SN - 9783319015705
KW - cloud;monitoring;CEP
N2 - When monitoring cloud infrastructure, the monitoring data related to a particular resource or entity are typically produced by multiple distributed producers spread across many individual computing nodes. In order to determine the state and behavior of a particular resource all the relevant data must be collected, processed, and evaluated without overloading the computing resources and flooding the network. Such a task is becoming harder with the ever growing volume, velocity, and variability of monitoring data produced by modern cloud datacenters. In this paper we propose a general distributed event-driven monitoring model enabling multiple simultaneous consumers a real-time collection, processing, and analysis of monitoring data related to the behavior and state of many distributed entities.
ER -
TOVARŇÁK, Daniel, Filip NGUYEN a Tomáš PITNER. Distributed Event-Driven Model for Intelligent Monitoring of Cloud Datacenters. In Zavoral, Filip and Jung, Jason J. and Badica, Costin. \textit{Intelligent Distributed Computing VII}. Cham: Springer International Publishing Switzerland, 2014, s.~87-92. ISBN~978-3-319-01570-5. Dostupné z: https://dx.doi.org/10.1007/978-3-319-01571-2\_{}11.
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