Abstract--The paper presents an architecture and implementation that allows distributed execution of workflow applications in BeesyCluster using agents. BeesyCluster is a middlewar...
Pawel Czarnul, Mariusz R. Matuszek, Michal W&oacut...
Data lineage and data provenance are key to the management of scientific data. Not knowing the exact provenance and processing pipeline used to produce a derived data set often re...
The successful execution of workflows using mobile services is dependant on the services behaving as expected. The management of this behaviour in Akogrimo is achieved by a contex...
Robert B. Piotter, Tom Kirkham, Julian R. Gallop, ...
This paper describes our experiences in exploring the applicability of software engineering approaches to scientific data management problems. Specifically, this paper describes h...
Leon J. Osterweil, Lori A. Clarke, Aaron M. Elliso...
In recent years adaptive process management technolgy has emerged in order to increase the flexibility of business process implementations and to support process changes at differe...
Stefanie Rinderle, Manfred Reichert, Martin Jurisc...