Detailed Information on Publication Record
2012
Towards Multi-Tenant and Interoperable Monitoring of Virtual Machines in Cloud
TOVARŇÁK, Daniel and Tomáš PITNERBasic information
Original name
Towards Multi-Tenant and Interoperable Monitoring of Virtual Machines in Cloud
Authors
TOVARŇÁK, Daniel (203 Czech Republic, guarantor, belonging to the institution) and Tomáš PITNER (203 Czech Republic, belonging to the institution)
Edition
Los Alamitos (CA), Proceedings of 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, p. 436-442, 7 pp. 2012
Publisher
IEEE Computer Society
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Romania
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
References:
RIV identification code
RIV/00216224:14330/12:00067631
Organization unit
Faculty of Informatics
ISBN
978-0-7695-4934-7
UT WoS
000317189000061
Keywords in English
monitoring cloud management multi-tenancy
Tags
Tags
International impact, Reviewed
Změněno: 30/4/2014 10:27, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
The advent of Cloud Computing introduced new challenges in various computer science fields and disciplines, monitoring being one of them. Due to the multi-tenant nature of Cloud environment, its size and use of massive virtualization, the current monitoring solutions are approaching their limits. Unlike some other approaches, focusing on data integration, aggregation, and abstraction, our work focuses on a virtual machine representing the primary source of monitoring information. In this paper, we propose requirements for the producer of monitoring information addressing existing issues related to monitoring data representation, storage, processing and distribution. As a proof-of-concept, conforming to these requirements, prototype of event-based monitoring daemon is presented in detail. The resulting solution allows multiple users to consume monitoring information in an extensible data format without impairing interoperability.
Links
LA09016, research and development project |
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