The architectures which support modern supercomputing machinery are as diverse today, as at any point during the last twenty years. The variety of processor core arrangements, thr...
Simon D. Hammond, J. A. Smith, Gihan R. Mudalige, ...
This paper presents an approach for investigating in a predictive way potential disruptive effects of interruptions on task performance in a multitasking environment. The approach...
Philippe A. Palanque, Marco Winckler, Jean-Fran&cc...
Predicting grid performance is a complex task because heterogeneous resource nodes are involved in a distributed environment. Long execution workload on a grid is even harder to pr...
Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
Prior research has suggested that the failure rates of faults follow a log normal distribution. We propose a specific model where distributions close to a log normal arise natural...