We describe four problems inherent to Grid scheduling that could be identified by means of measurements in the D-Grid. These problems make meta-scheduling nearly always a delicate task. In the face of this, we developed a new hybrid methodology to schedule application work-flows which presumably supersedes existing methods. Our algorithm combines existing scheduling strategies for the Grid and for workflows, and it additionally employs three prediction methods for the expected queue waiting times. Three site scenarios could be identified where one respective prediction works best. To meet the dynamic characteristics of heterogeneous Grid resources, we use a list scheduling heuristic to per
Workflow scheduling is solved using heuristics and meta heuristics. Heuristics are problem-dependent...
Workflow technology has been adopted in scientific domains to orchestrate and automate scientific pr...
The Grid has enabled the scientific community to make faster progress. Scientific experiments and da...
Abstract—We describe four problems inherent to Grid scheduling that could be identified by means of ...
Abstract—Contemporary workflow scheduling strategies that employ full-ahead planning of the complete...
In attempts to exploit a diverse set of resources in grids efficiently, numerous assays in resource ...
In this dissertation, we present a design and implementation of a tool for automatic mapping and sch...
Abstract. The execution of scientific workflows in Grid environments imposes many challenges due to ...
Research in biomedicine and bioinformatics often requires the analysis of very large data sets. Grid...
Workflow scheduling on the Grid becomes more challenging when multiple scheduling criteria are consi...
In heterogeneous distributed systems, utility grids have emerged as a new model of service. In this ...
Abstract In this paper, we present an experimental study of deterministic non-preemptive multiple wo...
Abstract Efficient scheduling is a key concern for the effectual execution of performance driven Gri...
The Grid Workflow scheduling is considered an important issue in Workflow management. Workflow sched...
AbstractGrid computing enables large-scale resource sharing and collaboration for solving advanced s...
Workflow scheduling is solved using heuristics and meta heuristics. Heuristics are problem-dependent...
Workflow technology has been adopted in scientific domains to orchestrate and automate scientific pr...
The Grid has enabled the scientific community to make faster progress. Scientific experiments and da...
Abstract—We describe four problems inherent to Grid scheduling that could be identified by means of ...
Abstract—Contemporary workflow scheduling strategies that employ full-ahead planning of the complete...
In attempts to exploit a diverse set of resources in grids efficiently, numerous assays in resource ...
In this dissertation, we present a design and implementation of a tool for automatic mapping and sch...
Abstract. The execution of scientific workflows in Grid environments imposes many challenges due to ...
Research in biomedicine and bioinformatics often requires the analysis of very large data sets. Grid...
Workflow scheduling on the Grid becomes more challenging when multiple scheduling criteria are consi...
In heterogeneous distributed systems, utility grids have emerged as a new model of service. In this ...
Abstract In this paper, we present an experimental study of deterministic non-preemptive multiple wo...
Abstract Efficient scheduling is a key concern for the effectual execution of performance driven Gri...
The Grid Workflow scheduling is considered an important issue in Workflow management. Workflow sched...
AbstractGrid computing enables large-scale resource sharing and collaboration for solving advanced s...
Workflow scheduling is solved using heuristics and meta heuristics. Heuristics are problem-dependent...
Workflow technology has been adopted in scientific domains to orchestrate and automate scientific pr...
The Grid has enabled the scientific community to make faster progress. Scientific experiments and da...