Abstract
The paper presents a wavelet-neuronal method for prediction of resource load in multiprocessor environment. Research was performed on multiprocessor NUMA (Non-Uniform Memory Access) machine, but prediction algorithm can be successfully used also in virtual multiprocessor system. Prediction can improve dynamic load balancing methods.
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Hajto, P., Skrzypek, M. (2004). Wavelet-Neuronal Resource Load Prediction for Multiprocessor Environment. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2003. Lecture Notes in Computer Science, vol 3019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24669-5_16
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DOI: https://doi.org/10.1007/978-3-540-24669-5_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21946-0
Online ISBN: 978-3-540-24669-5
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