Description

Scheduling and load balancing techniques are crucial for implementing efficient parallel and distributed applications and for making best use of parallel and distributed systems. These techniques can be provided either at the application level or at the system level, and both approaches are of interest for this topic. At the application level, the mapping of parallel computations onto parallel computer systems and the development of dynamic load balancing algorithms that are able to exploit the particular characteristics and the actual utilization of the underlying parallel computer system are of particular relevance. At the system level, areas of interest include checkpointing and migration, workload modeling, and resource management strategies. Theoretical results that can be used as solid foundations for designing efficient and robust scheduling, load-balancing, and/or resource management algorithms are particularly welcome together with novel such algorithms for modern parallel and distributed systems such as clusters, grids, and global computing platforms.