This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
In this paper we present an optimization solution for power and performance management in a platform running multiple independent applications. Our approach assumes a virtualized ...
Vinicius Petrucci, Orlando Loques, Daniel Moss&eac...
—MapReduce is a data-driven programming model proposed by Google in 2004 which is especially well suited for distributed data analytics applications. We consider the management o...
Jorda Polo, David Carrera, Yolanda Becerra, Malgor...
: AWAIT: Efficient Overload Management for Busy Multi-tier Web Services under Bursty Workloads Lei Lu, Ludmila Cherkasova, Vittoria de Nitto Persone, Ningfang Mi, Evgenia Smirn...
Lei Lu, Ludmila Cherkasova, Vittoria de Nitto Pers...
—In order to meet the increasing demands of present and upcoming data-intensive computer applications, there has been a major shift in the disk subsystem, which now consists of m...
Rajat Garg, Seung Woo Son, Mahmut T. Kandemir, Pad...