Workflow scheduling on the Grid becomes more challenging when multiple scheduling criteria are considered. Existing studies provide different approaches to the multi-criteria Grid workflow scheduling problem, and address different variants of the problem. A profound understanding of the problem's nature can be an important step towards more generic scheduling approaches. Based on the related work and on our own experience, we propose several novel taxonomies of the problem, considering five facets: workflow model, scheduling criteria, scheduling process, resource model, and task model. We make a survey of the existing related work, and classify it according to the proposed taxonomies, identifying the most common use cases and the areas that...
To use services transparently in a distributed environment, the Utility Grids develop a cyber-infras...
Scientists increasingly rely on the execution of workflows in grids to obtain results from complex m...
Workflow scheduling is solved using heuristics and meta heuristics. Heuristics are problem-dependent...
We describe four problems inherent to Grid scheduling that could be identified by means of measureme...
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 ...
Abstract—We describe four problems inherent to Grid scheduling that could be identified by means of ...
Workflow technology has been adopted in scientific domains to orchestrate and automate scientific pr...
Due to its ability to provide high-performance computing environment, grid has become an important i...
With the advent of Grid and application technologies, scientists and engineers are building more and...
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...
Research in biomedicine and bioinformatics often requires the analysis of very large data sets. Grid...
In this dissertation, we present a design and implementation of a tool for automatic mapping and sch...
To use services transparently in a distributed environment, the Utility Grids develop a cyber-infras...
Scientists increasingly rely on the execution of workflows in grids to obtain results from complex m...
Workflow scheduling is solved using heuristics and meta heuristics. Heuristics are problem-dependent...
We describe four problems inherent to Grid scheduling that could be identified by means of measureme...
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 ...
Abstract—We describe four problems inherent to Grid scheduling that could be identified by means of ...
Workflow technology has been adopted in scientific domains to orchestrate and automate scientific pr...
Due to its ability to provide high-performance computing environment, grid has become an important i...
With the advent of Grid and application technologies, scientists and engineers are building more and...
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...
Research in biomedicine and bioinformatics often requires the analysis of very large data sets. Grid...
In this dissertation, we present a design and implementation of a tool for automatic mapping and sch...
To use services transparently in a distributed environment, the Utility Grids develop a cyber-infras...
Scientists increasingly rely on the execution of workflows in grids to obtain results from complex m...
Workflow scheduling is solved using heuristics and meta heuristics. Heuristics are problem-dependent...