Efficient hierarchical self-scheduling for MPI applications executing in computational Grids
MGC '05 Proceedings of the 3rd international workshop on Middleware for grid computing
Autonomic application management for large scale MPI programs
International Journal of High Performance Computing and Networking
Applying reinforcement learning to scheduling strategies in an actual grid environment
International Journal of High Performance Systems Architecture
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One of the objectives of computational Grids is to offer applications the collective computational power of distributed but typically shared heterogeneous resources. Unfortunately, efficiently harnessing the performance potential of such systems (i.e. how and where applications should execute on the Grid) is a challenging endeavor due principally to the very distributed, shared and heterogeneous nature of the resources involved. A crucial step towards solving this problem is the need to identify both an appropriate scheduling model and scheduling algorithm(s). This paper presents a tool to aid the design and evaluation of scheduling policies suitable for efficient execution of system-aware parallel applications on computational Grids. Copyright © 2005 John Wiley & Sons, Ltd.