What does Service-oriented Computing really mean?

Some ideas on SOC and it\u27s difference to OOP

ASG - Techniques of Adaptivity

The introduction of service-orientation leads to significant improvements regarding flexibility in the choice of business partners and IT-systems. This requires an increased adaptability of enterprise software landscapes as the environment is more dynamic than the ones in traditional approaches. In this paper we present different types of adaptation scenarios for service compositions and their implementation in a service provision platform. Based on experiences from the Adaptive Services Grid (ASG) project, we show how dynamic adaptation strategies are able to support an automated selection, composition and binding of services during run-time

Towards a Services-Based Process Platform

Service oriented software architectures that are aware of business processes will form the core of operational IT landscapes in the future. This contribution starts with an introduction of the state of the art in service oriented architectures. A concrete case study identifies central requirements that are not satisfied by these architectures so far. The authors argue that semantically rich descriptions of services are essential to tap the full potential of service oriented architectures in enterprise environments. This regards matchmaking and binding of services, integration of new services as well as the cost-efficient development of added value services by composing semantically described basic services. This paper introduces a semantic service platform that implements dynamic matchmaking, composition and binding of semantically described services. Finally its functionality and possible application scenarios are outlined

ASG – Techniques of Adaptivity

Abstract. The introduction of service-orientation leads to significant improvements regarding flexibility in the choice of business partners and IT-systems. This requires an increased adaptability of enterprise software landscapes as the environment is more dynamic than the ones in traditional approaches. In this paper we present different types of adaptation scenarios for service compositions and their implementation in a service provision platform. Based on experiences from the Adaptive Services Grid (ASG) project, we show how dynamic adaptation strategies are able to support an automated selection, composition and binding of services during run-time

Implementing a semantic service provision platform Concepts and Experiences

ist für ausgewählte Szenarien realisierbar

An ontology-based service discovery approach for the provisioning of product-service bundles

More and more traditional manufacturing companies form or join inter-organizational networks to bundle their physical products with related services to offer superior value propositions to their customers. Some of these product-related services can be digitized completely and thus fully delivered electronically. Other services require the physical integration of external factors, but can still be coordinated electronically. In both cases companies and consumers face the problem of discovering appropriate product-related service offerings in the network or market. Based on ideas from the web service discovery discipline we propose a meet-in-the-middle approach between heavy-weight semantic technologies and simple boolean search to address this issue. Our approach is able to consider semantic relations in service descriptions and queries and thus delivers better results than syntax-based search. However – unlike most semantic approaches – it does not require the use of any formal language for semantic markup and thus requires less resources and skills for both service providers and consumers. To fully realize the potentials of the proposed approach a domain ontology is needed. In this research-in-progress paper we construct such an ontology for the domain of product-service bundles through analysis and synthesis of related work on service description. This will serve as an anchor for future research to iteratively improve and evaluate the ontology through collaborative design efforts and practical application