: Nowadays, a central topic in database science is the need of an integrated access to large amounts of data provided by various information sources whose contents are strictly rel...
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
Network management applications require accurate estimates of a wide range of flow-level traffic metrics. Given the inadequacy of current packet-sampling-based solutions, several ...
This paper introduces a self-configuring architecture for scaling the database tier of dynamic content web servers. We use a unified approach to load and fault management based ...
Gokul Soundararajan, Kaloian Manassiev, Jin Chen, ...
In this paper we describe the design and implementation of a C++ based Common Component Architecture (CCA) framework, XCAT-C++. It can efficiently marshal and unmarshal large data...
Madhusudhan Govindaraju, Michael R. Head, Kenneth ...