E-business automates the overall activities of a company and allows distributed systems to communicate their information. Process automation and information sharing improve a company’s productivity and responsiveness, while Businessto-Business (B2B) workflow systems electronically aid the progress of business processes among trading partners, and also help companies to monitor and administrate ...

In the pervasive and mobile computing environment, workflow and context information are closely linked, workflow management system have to interact with a variety of sensors. Therefore, the design and development context-aware workflow applications become complex and difficult to migrate to other platforms. In order to simplify the development of context-aware workflow applications and enhance ...

This chapter shows how flexibility can be realized for distributed workflows. The capability to dynamically adapt workflow instances during runtime (e.g., to add, delete or move activities) constitutes a fundamental challenge for any workflow management system (WfMS). While there has been significant research on ad-hoc workflow changes and on related correctness issues, there exists only little...

Workflow execution in the cloud is a novel field for processoriented case-based reasoning (PO-CBR). In contrast to traditional POCBR approaches where the focus is usually on single workflow instances, an entire set of workflow instances is considered that are currently running on cloud resources. While traditional methods such as running a workflow management tool monolithically on cloud resour...

Grid workflow, as a basic service in the grid environment, is a useful tool to help researchers make use of various gird resources to solve scientific problems. It is possible lots of users invoke grid workflow services in a very narrow time interval. Therefore, a centralized grid workflow engine is apt to be a bottleneck. In the paper, a novel grid workflow engine is proposed. It is based on J...

Today’s workflow systems are crossing organizational boundaries and usually involve multiple organizations or partners, and the crossorganization workflow has received much public attention from both the academia and the industry. This way the property analysis as well as system control for a cross-organization workflow is very important. In this paper, we focus on a kind of loosely coupled wor...

Scientific workflows evolved to a useful means in computational science in order to model and execute complex data processing tasks on distributed infrastructures such as Grids. Many workflow languages and corresponding workflow engines and tools were developed to model and execute scientific workflows, without using established workflow technologies from the business domain. With the adoption ...

Workflow management systems (WFMS) coordinate execution of multiple tasks performed by different entities within an organization. In order to coordinate the execution of the various tasks in a workflow, task dependencies are specified among them. These task dependencies are enforced during the normal execution of the workflow. When a system crash occurs some tasks of the workflow may be committ...

Workflow management is a core component of modern enterprise information technology infrastructure that automates the execution of critical business processes. Since enterprise transformation typically introduces changes to the corresponding business processes, it is important for modern workflow management systems to provide effective support for seamless incorporation of these changes. In thi...

Communicative workflow modelling is key to describing, analyzing, and designing business processes in virtual collaborative networks, such as present in e-commerce. To make workflow models meaningful and acceptable to all partners, their legitimacy needs to be checked. To this purpose, the underlying norms must be made explicit. A key class of communicative workflow models is captured by our ex...