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Most existing Grid application development environments provide the application developer with a nontransparent Grid. Commonly, application developers are explicitly involved in tedious tasks such as selecting software components deployed on specific sites, mapping applications onto the Grid, or selecting appropriate computers for their applications. Moreover, many programming interfaces are either implementation-technology-specific (e.g., based on Web services [24]) or force the application developer to program at a low-level middleware abstraction (e.g., start task, transfer data [22, 153]). While a variety of graphical workflow composition tools are currently being proposed, none of them is based on standard modeling techniques such as Unified Modeling Language (UML). [ABSTRACT FROM AUTHOR]

Supporting adaptive processes in tackling emergency situations, such as disasters, is a key issue for any emergency management system. In such situations, various teams are deployed in many sites, at the front-end or back-end of the situations, to conduct tasks handling the emergency. Context information is of paramount importance in assisting the adaptation of these tasks. However, there is a lack of middleware supporting the management of context information in emergency situations. This paper presents a novel framework that manages and provides various types of context information required for adapting processes in emergency management systems. [ABSTRACT FROM AUTHOR]

The complexity and the dynamics of the Grid environment and of the emering workflow-based applications on the Grid require novel performance monitoring and analysis services in order to capture monitoring data at multiple levels of abstraction, to analyze the data and to correlate metrics among entities. In this paper, we present the design of distributed monitoring and performance analysis services in the K-WfGrid project. We give an overview of the architecture of the performance and monitoring services and discuss useful performance and dependability metrics for workflows in K-WfGrid. We describe basic system components including the monitoring and instrumentation service, the performance analysis service along with data representation and service interface. [ABSTRACT FROM AUTHOR]

While existing work concentrates on developing QoS models of business workflows and Web services, few tools have been developed to support the monitoring and performance analysis of scientific workflows in Grids. This paper describes a Grid service for performance monitoring and analysis of Grid scientific workflows. The service utilizes workflow graphs and various types of performance data including monitoring data of resources, execution status of activities, and performance measurement obtained from the dynamic instrumentation, to provide a rich set of monitoring and performance analysis features. We store workflows and their relevant information, devise techniques to compare constructs of different workflows, and support multi-workflow analysis. [ABSTRACT FROM AUTHOR]