As biomedical data has become increasingly easy to generate in large quantities, the methods used to analyze it have proliferated rapidly. Reproducible and reusable methods are required to learn from large volumes of data reliably. To address this issue, numerous groups have developed workflow specifications or execution engines, which provide a framework with which to perform a sequence of ana...

This paper distinguishes, at a high level, the differences between the architectures of workflow management systems. Its main function is to clarify the segmentation between autonomous and embedded workflow deployments. Workflow is the automation of a business process, in whole or in part, during which documents, information, or tasks are passed from one participant to another for action, accor...

This paper is a proof of concept report for a bottom-up approach to a conceptual and engineering framework to enable Intelligent Organizations using MAS Technology. We discuss our experience of implementing different types of server agents and a rudimentary organization engine for two industrial-scale information systems now in operation. These server agents govern knowledge repositories and us...

The increasing interest in new software engineering technologies for application integration such as Service Oriented Computing and Service Orchestration has resulted in a proliferation of workflow management systems as the underlying representation and execution platform for service composition [7]. Workflow management system are also being applied to new domains (e.g., virtual scientific labo...

Workflows have been successfully applied to express the decomposition of complex scientific applications. This has motivated many initiatives that have been developing scientific workflow tools. However the existing tools still lack adequate support to important aspects namely, decoupling the enactment engine from workflow tasks specification, decentralizing the control of workflow activities, ...

In order for an enterprise to gain insight into its internal business and the changing outside environment, it is essential to provide the relevant data for in-depth analysis. Enterprise data is usually scattered across departments and geographic regions, and is often inconsistent. Data scientists spend the majority of their time finding, preparing, integrating, and cleaning relevant data sets....

Medical image registration is pre-processing needed for many medical image analysis procedures. A very large number of registration algorithms are available today, but their performance is often not known and very difficult to assess due to the lack of gold standard. The Bronze Standard algorithm is a very data and compute intensive statistical approach for quantifying registration algorithms a...

High-throughput crystallographic approaches require integrated software solutions to minimize the need for manual effort. REdiii is a system that allows fully automated crystallographic structure solution by integrating existing crystallographic software into an adaptive and partly autonomous workflow engine. The program can be initiated after collecting the first frame of diffraction data and ...

Exception handling is a fundamental functionality of workflow management systems (WfMS). User involvement in exception handling is recognized as critical in various situations due to the unpredictability nature of the exceptions that can occur in a running workflow (WF) engine. The problem however is how to orchestrate human ad hoc interventions with a minimum impact on system integrity. The co...

Service-oriented workflows in the scientific domain are commonly composed as Directed Acyclic Graphs (DAGs), formed from a collection of vertices and directed edges. When orchestrating service-oriented DAGs, intermediate data are typically routed through a single centralised engine, which results in unnecessary data transfer, increasing the execution time of a workflow and causing the engine to...