Creating scientific workflow applications is a very challenging task due to the complexity of
the distributed computing environments involved, the complex control and data flow …

Today, Cloud computing proposes an attractive alternative to building large‐scale
distributed computing environments by which resources are no longer hosted by the …

Existing knowledge based grid workflow languages and composition tools require
sophisticated expertise of domain scientists in order to automate the process of managing …

The workflow paradigm is one of the most important programming models for the Grid. The
composition of Grid workflows has been widely studied in the Grid community. However …

Grid workflow may construct new value-added services by composing existing elementary
services with sophisticated workflow logic. Grid workflow schedule requires sophisticated …

Scientific workflow composition is still a challenging task for domain scientists. One of the
main reasons is the lack of domain knowledge support in workflow composition tools or …

Although the composition of scientific workflows has been widely studied, there is still a lack
of a general and efficient approach for automatic composition of scientific workflows. In this …

Currently, scientific application developers often configure available application components
into a workflow of tasks that they can submit for execution on distributed systems. In this …

A distributed system can be visioned as a metacomputer formed by connecting computers,
storage systems, etc. through networks. Formally, we have the following definitions …

As more scientific workflows are built, workflow modularization mechanisms become
essential for workflow languages or systems. For example, a domain scientist in one …