Algorithm 806: SPRNG: a scalable library for pseudorandom number generation
ACM Transactions on Mathematical Software (TOMS)
Scheduling under Uncertainty: Planning for the Ubiquitous Grid
COORDINATION '02 Proceedings of the 5th International Conference on Coordination Models and Languages
A computational economy for grid computing and its implementation in the Nimrod-G resource broker
Future Generation Computer Systems - Grid computing: Towards a new computing infrastructure
A Performance Oriented Migration Framework For The Grid
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
A framework for adaptive execution in grids
Software—Practice & Experience
The Cactus Worm: Experiments with Dynamic Resource Discovery and Allocation in a Grid Environment
International Journal of High Performance Computing Applications
Applying Processes Rescheduling over Irregular BSP Application
ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
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Grid resource brokers need to provide adaptive scheduling and migration mechanisms to handle different user requirements and changing grid conditions, in terms of resource availability, performance degradation, and resource cost. However, most of the resource brokers dealing with job migration do not allow for economic information about the cost of the grid resources. In this work, we have adapted the scheduling and migration policies of our resource broker to deal with different user optimization criteria (time or cost), and different user constraints (deadline and budget). The application benchmark used in this work has been taken from the finance field, in particular a Monte Carlo simulation for computing the value-at-risk of a financial portfolio.