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| Raweb 2003 / Project-Team : reso
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The purpose of Computational Grids is to aggregate a large collection of shared resources (computing, communication, storage, information) to build an efficient and very high performance computing environment for data-intensive or computing-intensive applications [63] . But generally, the underlying communication infrastructure of these large scale distributed environments is a complex interconnection of multi IP domains with changing performance characteristics. Consequently the Grid Network cloud may exhibit extreme heterogeneity in performance and reliability that can considerably affect the global application performances. Performance and security are the major issues grids encountered from a technical point of view.
The performance problem of the grid network cloud can be studied from different but complementary view points:
Measuring and monitoring the end to end performances helps to characterize the links and the network behavior. Network cost functions and forecasts, based on such measurement information, allow the upper abstraction level to build optimization and adaptation algorithms.
Evaluating the advantages of differentiated services, like Premium or Less than Assured Services, offered by the network infrastructure for specific grid flows is of importance.
Creating enhanced and programmable transport protocols to optimize heterogeneous data transfers within the grid may offer a scalable and flexible approach for performance control and optimization.
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