Pop, F. and Lovin, M.A. and Negru, C. and Cristea, V. and Bessis, N. and Sotiriadis, Stelios (2012) Grid configuration and application monitoring in GridGain. In: UNSPECIFIED (ed.) 2012 Fourth International Conference on Intelligent Networking and Collaborative Systems. IEEE, pp. 155-161. ISBN 9781467322799.
Text
06337913.pdf - Published Version of Record Restricted to Repository staff only Download (177kB) | Request a copy |
Abstract
Monitoring large scale distributed systems such as Grids environments represents a means for obtaining a quantitative and qualitative measurement of performance by collecting information relevant to environment and applications running on the Grid. This paper proposes a solution for Grid monitoring on Grid Gain middleware platform using both indirect information gathered inside the platform and an addition tool based on Mona LISA and Ap Mon. A useful feature would be to allow the monitoring system to present the operator with suggestions computed based on the history of monitored parameters for jobs with a longer execution time or based on some theoretical, model based assumptions that relate existing configuration to the values of some performance parameters.
Metadata
Item Type: | Book Section |
---|---|
Keyword(s) / Subject(s): | grid computing, middleware, ApMon, GridGain middleware platform, MonALISA, application monitoring, grid configuration, large scale distributed systems, model based assumptions, qualitative measurement, quantitative measurement, Accuracy, Data visualization, Load management, Measurement, Monitoring, Sensors, Standards, Distributed System, Grid Gain, Mon ALISA, Monitoring, Scheduling Service |
School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
Research Centres and Institutes: | Birkbeck Knowledge Lab |
Depositing User: | Stelios Sotiriadis |
Date Deposited: | 27 Jun 2018 14:52 |
Last Modified: | 09 Aug 2023 12:43 |
URI: | https://eprints.bbk.ac.uk/id/eprint/21836 |
Statistics
Additional statistics are available via IRStats2.