SDT 2010 Abstracts

Full Papers
Full Papers
Paper Nr: 4
Title:

CONSTRUCTING EVOLVABLE ENTERPRISE IMPLEMENTATIONS
Authors:

Philip Huysmans
Abstract: Contemporary organizations are operating in increasingly volatile environments. Hence, organizations must be agile in order to be able to quickly adapt to changes in its environment. This may be a complex process, since a change to one organizational unit may affect other units. Given the increasing complexity of organizations, it has been argued that organizations should be purposefully designed. Enterprise architecture frameworks provide guidance for the design of organizational structures. Unfortunately, current enterprise architecture frameworks have a descriptive, rather than a prescriptive nature and do not seem to have a strong theoretical foundation. In software engineering literature, the Normalized Systems approach has recently been proposed to provide such deterministic design principles for the modular structure of software. The Normalized Systems approach is based on the systems theoretic concept of stability to ensure the evolvability of information sys- tems. In our PhD research, we explore the feasibility of extending the Normalized Systems design principles to the field of enterprise architecture. Our results show that such approach is feasible and illustrate how the systems theoretic concept of stability can be used on the organizational level.
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Paper Nr: 5
Title:

Optimizing QoS-based Service Selection in Service-oriented Architectures
Authors:

Dieter Schuller
Abstract: In Service-oriented Architectures, services can be composed in a loosely coupled manner to realize business processes. Thereby, mentioned services are not necessarily located only within the borders of the own en-terprise. In the Internet of Services, multiple service providers offer various services on several service mar-ketplaces. In case services with comparable functionalities but varying quality levels are available at differ-ent costs, service requesters can decide, which services from which service providers to select. My research focuses on this service-selection-problem for complex workflows by formulating a linear optimization prob-lem, which can be solved optimally using linear programming techniques. As the actual execution path is probably not known at planning time (e.g., for conditional braches), a worst-case, and an average-case anal-ysis is performed. In addition to considering non-functional, quantitative service properties, I am working in my research towards integrating qualitative service features (as, e.g., security) for different, complex work-flow patterns.
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