The integration of clusters of computers into computational grids has recently gained the attention of many computational scientists. While considerable progress has been made in ...
Clovis Chapman, Mirco Musolesi, Wolfgang Emmerich,...
We present a computational framework to automatically discover high-order temporal social patterns from very noisy and sparse location data. We introduce the concept of social foo...
The existence of good probabilistic models for the job arrival process and the delay components introduced at different stages of job processing in a Grid environment is important ...
Folksonomies provide a rich source of data to study social patterns taking place on the World Wide Web. Here we study the temporal patterns of users’ tagging activity. We show t...
Andrea Capocci, Andrea Baldassarri, Vito Domenico ...
In recent years, the use of performance measures for transit planning and operations has gained a great deal of attention, particularly as transit agencies are required to provide ...