The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Grid load balancing using intelligent agents
Future Generation Computer Systems
Performance-Aware Workflow Management for Grid Computing
The Computer Journal
Task scheduling strategies for workflow-based applications in grids
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
Sistemas Operativos Modernos
A comparison of multiprocessor task scheduling algorithms with communication costs
Computers and Operations Research
Scheduling strategies for mapping application workflows onto the grid
HPDC '05 Proceedings of the High Performance Distributed Computing, 2005. HPDC-14. Proceedings. 14th IEEE International Symposium
A toolkit for modelling and simulating data Grids: an extension to GridSim
Concurrency and Computation: Practice & Experience
Run-time Optimisation of Grid Workflow Applications
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
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The recent enthusiasm in grid computing has given rise to a large amount of research on resource scheduling techniques for tasks in a workflow. Most of the work on resource scheduling is aimed to minimize the total response time for the entire workflow. In this paper we propose a new balanced scheduler that resolves a workflow using the idle cycles of each resource of the Grid. The workflow is based on iterative tasks that usually appear in optimization problems. Experimental results using balanced load scheduler show that it is possible to obtain an improved use of the resources in the Grid thorugh assigning more tasks to the resources that have more idle cycles. This strategy enables to adapt the length of a task to the computing capacity of each resource at any given moment. Furthermore, this scheduling strategy enables to execute all the tasks in a shorter time.