Pop, F. and Lovin, M.A. and Cristea, V. and Bessis, N. and Sotiriadis, Stelios (2012) Applications monitoring for self-optimization in GridGain. In: UNSPECIFIED (ed.) 2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems. IEEE, pp. 755-760. ISBN 9781467312332.
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Abstract
Monitoring process offer a quantitative and qualitative measurement of performance by collecting information relevant to environment and applications. Monitoring allows the obtaining of valuable parameters about performance, resource usage and availability, the efficiency of scheduling and used algorithms and represents a mechanism for analyzing and adapting an application's behavior, particularly useful for optimization of complex applications. Self-* properties of different applications are the answer to the complexity and large scale of distributed systems. The purpose of this paper is to analyze the requirements and to build such a tool destined for computational grids using the Grid Gain middleware platform (an Enterprise middleware for Grids, dedicated both to researcher environments and to industry). The optimization process is very important for QoS assurance, so multi-criteria approach could be adopted. The self-* behavior consider bio-inspired techniques for optimization (genetic algorithms, immune algorithms, swarm intelligence).
Metadata
| Item Type: | Book Section |
|---|---|
| Keyword(s) / Subject(s): | business data processing, genetic algorithms, grid computing, middleware, quality of service, Grid Gain middleware platform, GridGain, Grids, QoS assurance, applications monitoring, computational grids, distributed systems, enterprise middleware, genetic algorithms, immune algorithms, optimization, qualitative measurement, quantitative measurement, swarm intelligence, Computer architecture, Data visualization, Java, Measurement, Middleware, Monitoring, Optimization, GridGain, genetic algorithms, grid, monitoring, optimization |
| 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: | 19 Jun 2018 13:59 |
| Last Modified: | 09 Aug 2023 12:43 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/21846 |
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