Abstract-Service-oriented architecture has become the standard paradigm for software component integration. However, with the permanently increasing amount of available services and dynamic changes, the complexity of such service infrastructures, their maintenance, and consequently the expenditures spent for their operation increase equally. To deal with these effects, an improvement of service composition and discovery becomes necessary, especially a higher degree of automation. Following the idea of Autonomic Computing, which similarly aims at automating processes and workflows to a high degree, service composition and discovery have to proceed autonomously, which will on the one hand side reduce human involvement to a minimum, but on the other side require certain capabilities on the part of these mechanisms. For these purposes, in this paper we define prime criteria that have to be fulfilled for an autonomic service discovery. Based on that we present a comprehensive survey on existing service discovery approaches and evaluate to which extent they already fulfill these criteria. As a result, the paper reveals that there already exist some approaches that support or even fulfill a couple of the proposed criteria, which principally enables autonomic properties, but what is missing is an holistic approach focusing explicitly on providing autonomic properties.

Inhaltsbeschreibung:Derzeit SEMPA -A Semantic Business Process Management Approach for the Planning of Process Models Abstract:Currently process modeling is mostly done manually. Therefore, the initial design of process models as well as changes to process models which are frequently necessary to react to new market developments or new regulations are time-consuming tasks. In this paper we introduce SEMPA, an approach for the partly automatic planning of process models. Using ontologies to semantically describe actions -as envisioned in Semantic Business Process Management -, a process model for a specified problem setting can be created automatically. In comparison to existing planning algorithms our approach creates process models including control structures and is able to cope with complex and numerical input and output parameters of actions. The prototypical implementation as well as an example taken from the financial services domain illustrate the practical benefit of our approach.

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Abstract. Enterprises have to react to changes with an increasing speed in order to stay competitive. Many approaches support the modeling of enterprise architectures but lack an evolution of enterprise architectures through demonstrating a transformation path from one architecture state to another. Enterprises know their strategic goals and are able to model them, but are not supported towards achieving these goals in terms of developing their architecture. We want to improve the current manual creation of the transformation paths in enterprise architecture planning by providing possible and sound sequences of actions as part of a roadmap from the current to a desired target architecture.Therefore, we present a solution that supports the enterprise architect with proposals for a transformation path from the current to the target state considering dependencies to be taken into account during the enterprise transformation.

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