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    Applications monitoring for self-optimization in GridGain

    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 Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centre: Birkbeck Knowledge Lab
    Depositing User: Stelios Sotiriadis
    Date Deposited: 19 Jun 2018 13:59
    Last Modified: 27 Jul 2019 21:40
    URI: http://eprints.bbk.ac.uk/id/eprint/21846

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