In many business applications, large data workloads such as sales figures or process performance measures need to be monitored in real-time. The data analysts want to catch proble...
Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Danie...
The real-time scheduling advisor (RTSA) is an entirely userlevel system that an application running on a typical shared, unreserved distributed computing environment can turn to f...
MapReduce and stream processing are two emerging, but different, paradigms for analyzing, processing and making sense of large volumes of modern day data. While MapReduce offers t...
—Body sensor networks (BSNs) have been developed for a set of performance-critical applications, including smart healthcare, assisted living, emergency response, athletic perform...
Zhen Ren, Gang Zhou, Andrew Pyles, Matthew Keally,...
Increased power densities (and resultant temperatures) and other effects of device scaling are predicted to cause significant lifetime reliability problems in the near future. In...
Jayanth Srinivasan, Sarita V. Adve, Pradip Bose, J...