Abstract
This paper discusses a problem of monitoring heterogeneous distributed computing environments which consist of loosely coupled multiplatform computing resources. We propose an approach to the organization of the meta-monitoring system which collects data from existing local monitoring systems and own software sensors, unifies and analyzes data, generates necessary control actions. The approach is based on web-technologies, multi-agent technologies, expert systems, methods of decentralized processing and distributed storage of data.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Massie, M., Li, B., Nicholes, V., Vuksan, V.: Monitoring with Ganglia. O’Reilly Media, Sebastopol (2012)
Josephsen, D.: Building a Monitoring Infrastructure with Nagios. Pearson Education, Boston (2007)
Zabbix. https://www.zabbix.org
ClustrX Watch. http://www.t-platforms.com/products/software/clustrxproductfamily/clustrxwatch.html
Adinets, A.V., Bryzgalov, P.A., Voevodin, V.V., Zhumatiy, S.A., Nikitenko, D.A.: About one approach to monitoring, analysis and visualization of jobs on cluster system. In: Numerical Methods and Programming, vol. 12, pp. 90–93. RCC MSU, Moscow (2011)
Giarratano, J.C., Riley, G.D.: Expert Systems: Principles and Programming, 4th edn. Course Technology, Boston (2004)
Tweedale, J., Ichalkaranje, N.: Innovations in multi-agent systems. J. Netw. Comput. Appl. 30, 1089–1115 (2007). Elsevier, Melbourne
Irkutsk Supercomputer Centre of SB RAS. http://hpc.icc.ru
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Bychkov, I., Oparin, G., Novopashin, A., Sidorov, I. (2015). Agent-Based Approach to Monitoring and Control of Distributed Computing Environment. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2015. Lecture Notes in Computer Science(), vol 9251. Springer, Cham. https://doi.org/10.1007/978-3-319-21909-7_24
Download citation
DOI: https://doi.org/10.1007/978-3-319-21909-7_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-21908-0
Online ISBN: 978-3-319-21909-7
eBook Packages: Computer ScienceComputer Science (R0)