Abstract
A Grid system must integrate heterogeneous resources with varying quality and availability. For example, the load on any given resource may increase during execution of a time-constrained job. This places importance on the system’s ability to recognise the state of these resources. This paper presents an approach used as a basis for applications and resources monitoring, in which Grid jobs are maintained at runtime. A reflective technique is used to simplify the monitoring of the Grid application. The monitoring tool is described and experimentally evaluated. Reflection is incorporated into the monitoring to separate functional and non-functional aspects of the system and facilitate the implementation of non-functional properties such as job migration. Results indicate that this approach enhances the likelihood of timely job completion in a dynamic Grid system.
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Othman, A., Djemame, K., Gourlay, I. (2004). A Monitoring and Prediction Tool for Time-Constraint Grid Application. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3044. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24709-8_8
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DOI: https://doi.org/10.1007/978-3-540-24709-8_8
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