Angelika Kotz Dittrich

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Current workflow management systems fall short of supporting large-scale distributed, enterprise wide applications. We present a scalable, rigorously founded approach to enterprise-wide workflow management, based on the distributed execution of state and activity charts. By exploiting the formal semantics of state and activity charts, we develop an(More)
Enterprise–wide workflow management where workflows may span multiple organizational units require particular consideration of scalability, heterogeneity, and availability issues. The Mentor project which is introduced in this paper aims to reconcile a rigorous workflow specification method with a distributed middleware architecture as a step towards(More)
Empirical research based on time series is a data intensive activity that needs a data base management system (DBMS). We investigate the special properties a time series management system (TSMS) should have. We then show that currently available solutions and related research directions are not well suited to handle the existing problems. Therefore, we(More)
A workflow is the coordinated execution of a collection of computer–supported activities which are run under the responsibility of different, human or automated processing entities. Enterprise– wide workflow management where workflows may span multiple organizational units require particular consideration of scalability, heterogeneity, and availability(More)
MENTOR (“Middleware for Enterprise-Wide Workflow Management”) is a joint project of the University of the Saarland, the Union Bank of Switzerland, and ETH Zurich [1, 2, 3]. The focus of the project is on enterprise-wide workflow management. Workflows in this category may span multiple organizational units each unit having its own workflow(More)