Applications monitoring for self-optimization in GridGain

F. Pop, M.-A. Lovin, V. Cristea, N. Bessis, S. Sotiriadis

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)peer-review

2 Citations (Scopus)


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).
Original languageEnglish
Title of host publicationProceedings - 2012 6th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2012
Publication statusPublished - 6 Jul 2012
Event6th International Conference on Complex Intelligent and Software Intensive Systems - Palermo, Italy
Duration: 4 Jul 20126 Jul 2012


Conference6th International Conference on Complex Intelligent and Software Intensive Systems


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