Scientific workflows are being used as an abstraction for the composition of large scale scientific experiments. As scientific workflows become more complex, these abstractions isolate scientists from infrastructure issues. Although representing a workflow in an abstract level is a first step, there are many open issues, such as the ones related to semantics. Adding semantics to abstract workfl...

Business processes are crucial for every organisation as they represent the core value generating processes. Managing business processes is important to be efficient and to compete with a globalized market. Business process monitoring is an essential means to understand and to improve working procedures. It helps detecting deviations from planned procedures and brings transparency into the stat...

The Workflow Management System AltaVista Works has been extended to be able to process workflows in a distributed, partly even parallel manner. Build-time data are replicated over all participating workflow servers. The distribution of workflow execution is based on migration. Instead of the usual, static pre-partitioning, highly dynamic management of distribution is applied.

We present a generic and light-weight Grid workflow execution engine made available as a Grid service. A long-term goal is to facilitate the rapid development of application-oriented end-user workflow tools, while providing a high degree of Grid middleware-independence. The workflow engine is designed for workflow execution, independent of client tools for workflow definition. A flexible plugin...

This paper introduces a novel approach for flexible workflow management by applying constraint satisfaction problem solving. This enables us to support workflow deviations at runtime, react to upcoming events or unpredictable circumstances, but still support the user through worklist suggestions. The developed workflow engine is completely based on declarative workflow representations, whereas ...

Most existing workflow management systems (WFMSs) are based on a client/server architecture. This architecture simplifies the overall design but it does not match the distributed nature of workflow applicationsand imposes severe limitations in terms of scalability and reliability. Moreover, workflow engines are not very sophisticated in terms of data management, forgetting the fact that workflo...

Traditionally, workflow modeling is typically done by interviews or questionnaires which stay quite limited for the acquisition of workflow models and their adaptation to changing requirements. In order to build such model, this paper proposes to “reverse the process”. The approach, we propose, is able to acquire workflow model from workflow log, which contains information about execution event...

Workflow management systems (WfMSs) are useful tools for bioinformaticians. As experiences with using WfMSs accumulate, shortcomings of current systems become apparent. In this paper, we focus on practical issues that hinder WfMS users and that arise in the design and execution of workflows, and in access of web services. We present e-BioFlow, a workflow engine that demonstrates in which way a ...

Every time a workflow solution is conceived there is a large amount of functionality that is eventually reinvented and redeveloped from scratch. Workflow management systems from academia to the commercial arena exhibit a myriad of approaches having as much in common as in contrast with each other. Efforts in standardizing a workflow reference model and the gradual endorsement of those standards...