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.
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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
Original 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 1860-949X
Doi http://dx.doi.org/10.1007/978-3-319-01571-2_11
UT WoS 000334680900011
Keywords (in Czech) cloud;monitoring;CEP
Keywords in English cloud;monitoring;CEP
Tags best4
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 28/4/2014 00:27.
Abstract
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 projectName: Zastoupení ČR v European Research Consortium for Informatics and Mathematics (Acronym: ERCIM-CZ)
Investor: Ministry of Education, Youth and Sports of the CR
PrintDisplayed: 19/9/2024 16:08