Distributed Event-Driven Model for Intelligent Monitoring of
Cloud Datacenters

D 2014

Distributed Event-Driven Model for Intelligent Monitoring of Cloud Datacenters

TOVARŇÁK, Daniel, Filip NGUYEN a Tomáš PITNER

Základní údaje

Originální název

Distributed Event-Driven Model for Intelligent Monitoring of Cloud Datacenters

Autoři

TOVARŇÁK, Daniel (203 Česká republika, garant, domácí), Filip NGUYEN (203 Česká republika, domácí) a Tomáš PITNER (203 Česká republika, domácí)

Vydání

Cham, Intelligent Distributed Computing VII, od s. 87-92, 6 s. 2014

Nakladatel

Springer International Publishing Switzerland

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Kód RIV

RIV/00216224:14330/14:00074740

Organizační jednotka

Fakulta informatiky

ISBN

978-3-319-01570-5

ISSN

DOI

http://dx.doi.org/10.1007/978-3-319-01571-2_11

UT WoS

000334680900011

Klíčová slova česky

cloud;monitoring;CEP

Klíčová slova anglicky

cloud;monitoring;CEP

Štítky

best4

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 28. 4. 2014 00:27, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Návaznosti

LG13010, projekt VaV

Název: Zastoupení ČR v European Research Consortium for Informatics and Mathematics (Akronym: ERCIM-CZ)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Zastoupení ČR v European Research Consortium for Informatics and Mathematics

Citovat

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. 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.

@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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