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CCR
2011
14 years 7 months ago
Dynamically scaling applications in the cloud
Scalability is said to be one of the major advantages brought by the cloud paradigm and, more specifically, the one that makes it different to an “advanced outsourcing” solu...
Luis M. Vaquero, Luis Rodero-Merino, Rajkumar Buyy...
IJCSA
2007
100views more  IJCSA 2007»
15 years 4 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani
ARCS
2009
Springer
15 years 11 months ago
Empirical Performance Models for Java Workloads
Abstract. Java is widely deployed on a variety of processor architectures. Consequently, an understanding of microarchitecture level Java performance is critical to optimize curren...
Pradeep Rao, Kazuaki Murakami
PPOPP
2006
ACM
15 years 10 months ago
On-line automated performance diagnosis on thousands of processes
Performance analysis tools are critical for the effective use of large parallel computing resources, but existing tools have failed to address three problems that limit their scal...
Philip C. Roth, Barton P. Miller
PAMI
2008
140views more  PAMI 2008»
15 years 4 months ago
Simplifying Mixture Models Using the Unscented Transform
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...