This paper describes the concept of optimistic grid computing.  This
allows applications to synchronize more loosely and better tolerate
the dynamic and heterogeneous bandwidths and latencies that are seen
in grid environments.  Based on the observed performance of a
world-wide grid testbed, we estimate target operating regions for grid
applications.  Mesh generation is the primary test application where
boundary mesh cavities can be optimistically expanded in parallel.  To
manage the level of optimistic execution and stay within the
application's operating region, we are integrating grid performance
monitoring and prediction into the supporting runtime system.  The
ultimate goal of this project is to generalize the experience and
knowledge of optimistic grid computing gained through mesh generation
into a tool that can be applied to other tightly coupled computations
in other application domains.

@InProceedings{ngs-mesh-padc2003,
  author = 	 {Nikos Chrisochoides and Craig Lee and Bruce Lowekamp},
  title = 	 {Mesh Generation and Optimistic Computation on the Grid},
  booktitle = 	 {Performance Analysis and Grid Computing: Proceedings of the August 2002 Workshop on Performance Analysis and Distributed Computing},
  year =	 2003,
  address =	 {Schloss Dagstuhl},
  month =	 {October},
  publisher =	 {Kluwer}
}