In this paper we discuss how an e-learning environment based on Learning Objects can be extended to cope with testing learners achievements. Provided that the learning management system is powerful enough to be able to handle complex relationships and process support, we found that the learning object framework is expressive enough to encapsulate reusable tests. By leveraging on a workflow engi...

Recent advancement of geospatial services has shown great promise to solve complex geoprocessing tasks in a distributed environment. Geoprocessing services are often chained as scientific workflows and executed in a workflow engine. This paper proposes a task-oriented architecture for Web geoprocessing systems, which leverages Web service and workflow technologies to design and execute tasks, a...

Influenced by the success of web service technologies for the development and deployment of IT services, the telecommunications R&D community starts adapting and building similar service delivery platforms, trying to manage the hard constraints of telco domains, such as: existence of heterogeneous protocols, extensive use of asynchronous communications and real-time delivery requirements. In th...

Currently some complex grid applications developing often need orchestrate multiple diverse grid services into a workflow of tasks that can submit for executing on the grid environment. In this paper, we present CROWN FlowEngine—a GPEL-based grid workflow engine for executing grid workflow instances. Besides basic functions of a conventional BPEL4WSbased workflow engine, CROWN FlowEngine has ma...

Service Invocation Interface is the interface which workflow engine uses to communicate with external application procedures. Analyzed the difficulties caused by diversity of external network resources to realize service invocation interface, took the description, search and evaluation of these resources into consideration, put forward an integrated service invocation strategy based on SOA stru...

There currently exists a gap between medical data and the clinicians who wish to use the data as the foundation for evidence-based medicine. The current disjointed workflow often requires statisticians to act as bridges in order to answer inquiries from clinicians. This can lead to suboptimal results as due to a gap between the fundamental understanding of clinical underpinnings and formal stat...

Workflow evolution is a collective term for concepts that deal with changes of workflow models. Adapted workflow models are deployed on a workflow engine as new model version. That means two versions of the same model are deployed on the engine. Typically, this results in conflicts between the workflow models. For example, how does a client find and choose the desired workflow version to instan...

In recent years, radiofrequency ablation of liver tumors has become a serious alternative to surgical resection for unresectable colorectal metastases. The treatment success highly depends on an effective placement of the radiofrequency applicators into the tumor to get a sufficient coagulative necrosis. Therefore, several software tools have been developed for the support and planning of a goo...

The practice of using workflows to model complex activities in stable networks is commonplace and is supported by many commercially available workflow management systems (WfMSs). However, the use of workflows to model collaborative activities in mobile environments, while possible at the model level, has not gained traction due to the lack of a suitable WfMS for mobile networks and devices. Thi...

Workflows offer a powerful way to describe and deploy applications on grid infrastructures. Many workflow management systems have been proposed but there is still a lack of a system that would allow both a simple description of the dataflow of the application and an efficient execution on a grid platform. In this paper, we study the requirements of such a system, underlining the need for well-d...