Abstract
In the world of high performance distributed computing new, better and faster distributed platforms evolve quite rapidly. Building application dependent performance test cases in order to make platform comparisons, is not satisfying anymore. This paper presents the use of a statistical technique, called Design of Experiments (DoE), to model the performance of two closely related distributed platforms, JavaSpaces and GigaSpaces, with as few tests as possible. All tests will be based on Tunable Abstract Problem Profiles (TAPPs), a technique for problem independent simulations.
Special thanks go to GigaSpaces Technologies for their technical support and for providing the appropriate license keys.
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Hancke, F., Dhaene, T., Broeckhove, J. (2005). Modelling Overhead of Tuple Spaces with Design of Experiments . In: Daydé, M., Dongarra, J., Hernández, V., Palma, J.M.L.M. (eds) High Performance Computing for Computational Science - VECPAR 2004. VECPAR 2004. Lecture Notes in Computer Science, vol 3402. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11403937_6
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DOI: https://doi.org/10.1007/11403937_6
Publisher Name: Springer, Berlin, Heidelberg
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