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. © Springer-Verlag Berlin Heidelberg 2004.
Cite
CITATION STYLE
Hajto, P., & Skrzypek, M. (2004). Wavelet-neuronal resource load prediction for multiprocessor environment. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 119–124. https://doi.org/10.1007/978-3-540-24669-5_16
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