As the main computing paradigm for resource-intensive scientific applications, Grid enables resource sharing and dynamic
allocation of computational resources, promotes access to distributed data, operational flexibility and collaboration,
and allows service providers to distribute both conceptually and physically to meeting different requirements. Large-scale
grids are normally composed of huge numbers of components from different sites. This increases the requirements of workflows
and Quality of Service (QoS) upon these workflows as many of these components have real-time requirements. In this
paper, we describe a QoS-aware workflow management system(WfMS) from GridCC project and show how our WfMS ensures
workflows meet the pre-defined QoS requirements and optimise them accordingly.
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