-\li <b>Scheduling Distributed Applications: the
- SimGrid Simulation Framework</b>\n
- by <em>Henri Casanova and Arnaud Legrand and Loris Marchal</em>\n
- Proceedings of the third IEEE International Symposium
- on Cluster Computing and the Grid (CCGrid'03)\n
- Since the advent of distributed computer systems an active field
- of research has been the investigation of scheduling strategies
- for parallel applications. The common approach is to employ
- scheduling heuristics that approximate an optimal
- schedule. Unfortunately, it is often impossible to obtain
- analytical results to compare the efficacy of these heuristics.
- One possibility is to conducts large numbers of back-to-back
- experiments on real platforms. While this is possible on
- tightly-coupled platforms, it is infeasible on modern distributed
- platforms (i.e. Grids) as it is labor-intensive and does not
- enable repeatable results. The solution is to resort to
- simulations. Simulations not only enables repeatable results but
- also make it possible to explore wide ranges of platform and
+\li <b>SimGrid: a Generic Framework for Large-Scale Distributed
+ Experimentations</b>\n
+ by <em>Henri Casanova, Arnaud Legrand and Martin Quinson</em>\n
+ Proceedings of the 10th IEEE International Conference on Computer
+ Modelling and Simulation (UKSIM/EUROSIM'08)\n
+ Distributed computing is a very broad and active research area
+ comprising fields such as cluster computing, computational
+ grids, desktop grids and peer-to-peer (P2P) systems.
+ Unfortunately, it is often impossible to obtain theoretical or
+ analytical results to compare the performance of algorithms
+ targeting such systems. One possibility is to conduct large
+ numbers of back-to-back experiments on real platforms. While
+ this is possible on tightly-coupled platforms, it is infeasible
+ on modern distributed platforms as experiments are labor-intensive
+ and results typically not reproducible. Consequently, one must
+ resort to simulations, which enable reproducible results and also
+ make it possible to explore wide ranges of platform and