Mathematical and Statistical Simulation in Problems of the Physics of Atmosphere, Ocean, and Environmental Protection
In the last years, grid computing has emerged as a valuable service for complex computational problems in many scientific and industrial domains. Quality of Service (QoS) provision for this application is therefore a key challenge for high speed Next Generation Networks and cross-layer mechanisms, enabling network-aware grids. This paper mainly focuses on distributed data computation taking into account an application for the analysis of particles coagulation phenomena in a cluster and in a network-aware grid infrastructure. Extensive computations have been performed in a cluster environment and collected data have then been used as a starting point for the dimensioning of an IP/MPLS network. Since this application is characterized by frequent data exchanges, the impact of bandwidth allocation on the overall performance has been investigated.
Note. Abstracts are published in author's edition
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