One has a large workload that is “divisible” (its constituent work’s granularity can be adjusted arbitrarily) and one has access to p remote computers that can assist in comp...
Anne Benoit, Yves Robert, Arnold L. Rosenberg, Fr&...
We study stochastic models to mitigate the risk of poor Quality-of-Service (QoS) in computational markets. Consumers who purchase services expect both price and performance guaran...
In large-scale clusters and computational grids, component failures become norms instead of exceptions. Failure occurrence as well as its impact on system performance and operatio...
The design of a SAT-solver or the modification of an existing one is always followed by a phase of intensive testing of the solver on a benchmark of instances. This task can be ve...
Adrian Balint, Daniel Gall, Gregor Kapler, Robert ...
Clusters of workstations have become a cost-effective means of performing scientific computations. However, large network latencies, resource sharing, and heterogeneity found in ...