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Research Fields


Foundations of Service-oriented Systems

Today we are experiencing a major paradigm shift in the way that software applications are designed, architected, delivered, and consumed. Service-oriented Computing (SOC) is a new emerging paradigm for distributed computing and e-business processing that has evolved from object-oriented and component computing to enable building agile networks of collaborating business applications distributed within and across organizational boundaries. Services are autonomous platform-inde­pen­dent computational elements that can be described, published, discovered, orchestrated and pro­grammed using XML artifacts for the purpose of developing massively distributed interoperable applications. The application of the SoC model to Web resources to provide a loosely coupled model for distributed processing is manifested by Web services. Services are more than just software components; their platform neutral and self-describing nature and particularly their ability to enable business. Combined with recent developments in the area of distributed systems, workflow management systems, business protocols and languages, services can provide the automated support needed for e-business integration both at the data and business logic level. They also provide a sound support framework for developing complex business transaction sequences and business collaboration applications.

Research Topics of Interest include:

Model-driven Service engineering
Development methods for Web services workflows
Web services workflows and verification
Dynamic Web services registries
Middleware for service-based process management
Architectures for service-based BPM solutions Service Conversations and reliable messaging (e.g. how should services behave and perform conversations in various (possibly conflicting) settings and processes including dynamic deadlines and conditions)
Service Coordination and Transactions (e.g. how to model and support enact­ment of various coordination models ranging from ad hoc processes to modeled service interaction patterns).
Service Quality Requirements (e.g. how can service qualities consisting of functional and non-functional descriptions be related to processes)
Service Policies (e.g. how to deal with descriptions, compositions, and enactments of possibly conflicting services)
Service Aggregation Models (e.g. to devise models for aggregation and integration of services and the interrelation to end-to-end management of services)
Service Security
Mining, (Performance) Monitoring and management of Web services
Availability, Dependability, Reliability of service-oriented Systems


Context-based Autonomic services

Based on available contextual information user-centric services should autonomously adapt their behaviour to fit to the user's requirements, their context, their goals, and their device options. Individual contexts and team contexts provide opportunities for coupling. The goal is to identify the important aspects for knowledge workers and to increase responsiveness of individuals and teams. We provide the foundation for (a) learning from context settings, (b) tight or loose coupling of contexts with time or location constraints, and (c) enriching the overall process context by combinations of individual and team contexts.


Research Topics of Interest include:

Process-aware distributed and mobile teamwork
Mobile and pervasive collaboration systems
Coordination models, languages, and systems for distributed and mobile teamwork
Interaction patterns for distributed and mobile collaboration
Contextual information on collaborative work activities
Rules and Policies

Pervasive service Architectures, Protocols and Systems

The goal of this research area is to research into the requirements, design, and implementation issues for a lightweight reference architecture for pervasive collaboration services. This architecture should support dynamic relationships for combinations of human-to-human, human-to-service, and service-to-service interactions.


Research Topics of Interest include:

Pervasive Computing technologies
Web services on mobile devices



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