In recent years a range of novel methodologies and tools have been developed for the purpose of evaluation, design, and model reduction of existing and emerging parallel and distributed systems. At the same time, the coverage of the term "performance" has broadened to include reliability, robustness, energy consumption, and scalability, in addition that is to the classical performance-oriented evaluation of system functionality. The aim of the conference topic "Performance Prediction and Evaluation", was to bring together system designers and researchers involved with the qualitative and quantitative evaluation and modeling of large-scale parallel and distributed applications and systems (e.g., Grids, Cloud computing environments, multicore architectures). © 2010 Springer-Verlag.
CITATION STYLE
Jarvis, S., Coppola, M., Cao, J., & Kerbyson, D. (2010). Performance prediction and evaluation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6271 LNCS, pp. 86–87). https://doi.org/10.1007/978-3-642-15277-1_9
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