Abstract. The increasing gap of processor and main memory performance underlines the need for cache-optimizations, especially on memoryintensive applications. Tools which are able ...
Abstract— Scientific computing is being increasingly deployed over volunteer-based distributed computing environments consisting of idle resources on donated user machines. A fu...
We analyze an architecture based on mobility to address the problem of energy efficient data collection in a sensor network. Our approach exploits mobile nodes present in the senso...
— We present an approach to optimizing the transfer of data objects within a user’s collection of computers and personal devices, subject to a variety of user-defined quality ...
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...