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 and Tomáš PITNER

Basic information

Original name

Distributed Event-Driven Model for Intelligent Monitoring of Cloud Datacenters

Authors

TOVARŇÁK, Daniel (203 Czech Republic, guarantor, belonging to the institution); Filip NGUYEN (203 Czech Republic, belonging to the institution) and Tomáš PITNER (203 Czech Republic, belonging to the institution)

Edition

Cham, Intelligent Distributed Computing VII, p. 87-92, 6 pp. 2014

Publisher

Springer International Publishing Switzerland

Other information

Language

English

Type of outcome

Proceedings paper

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Switzerland

Confidentiality degree

is not subject to a state or trade secret

Publication form

printed version "print"

RIV identification code

RIV/00216224:14330/14:00074740

Organization unit

Faculty of Informatics

ISBN

978-3-319-01570-5

ISSN

DOI

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

UT WoS

000334680900011

EID Scopus

2-s2.0-84958542262

Keywords (in Czech)

cloud;monitoring;CEP

Keywords in English

cloud;monitoring;CEP

Abstract

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.

Links

LG13010, research and development project

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

Investor: Ministry of Education, Youth and Sports of the CR

Cite

TOVARŇÁK, Daniel; Filip NGUYEN and 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, p. 87-92. ISBN 978-3-319-01570-5. Available from: 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  - CONF
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 and 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, p.~87-92. ISBN~978-3-319-01570-5. Available from: https://dx.doi.org/10.1007/978-3-319-01571-2\_{}11.

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