As modern supercomputing systems reach the peta-flop performance range, they grow in both size and complexity. This makes them increasingly vulnerable to failures from a variety o...
Greg Bronevetsky, Daniel Marques, Keshav Pingali, ...
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
This paper evaluates the performance of two schemes for recovering lost data in a peer-to-peer (P2P) storage systems. The first scheme is centralized and relies on a server that r...
Provenance is generally defined as the documentation of a process that leads to some result, and has long been recognised as being fundamental to the development of problem solvi...
Ian Wootten, Shrija Rajbhandari, Omer F. Rana, Jas...
In previous work, we have defined conceptual foundations that can be beneficially used in context modeling. These conceptual foundations include the separation of entity and conte...