Efficient business processes are key to economic success. With the need to frequently adapt or restructure business processes and workflows in a dynamic market, agile processes and (semi-)automatic workflow and proces...
详细信息
Efficient business processes are key to economic success. With the need to frequently adapt or restructure business processes and workflows in a dynamic market, agile processes and (semi-)automatic workflow and process composition would be useful. Currently, this is a manual and time-consuming task. Automating and optimizing this task is of high interest in research communities. Nevertheless, the orientation differs: Some focus on semantic web services, others on Grid workflows or concentrate on business process management. In this paper we present a survey of available workflow annotation and composition approaches in all of these areas. We additionally categorize and compare them and describe future work.
The development of web services and especially semantic web services is a tremendous task for people who are not familiar with all language constructs. Especially with the growing mass of several semantic web service ...
详细信息
ISBN:
(纸本)9789898111005
The development of web services and especially semantic web services is a tremendous task for people who are not familiar with all language constructs. Especially with the growing mass of several semantic web service approaches a language-independent service development is needed. This gap can be filled by using model-driven software development. Therefore, in this paper we introduce a meta-model for semantic web services and show the benefits of automatic code generation on the basis of a small example.
Business process modeling (BPM) is one of the key factors in defining service-oriented solutions for business collaborations. Like in traditional software engineering there is a need for adaptable methodologies to dev...
详细信息
Business process modeling (BPM) is one of the key factors in defining service-oriented solutions for business collaborations. Like in traditional software engineering there is a need for adaptable methodologies to develop information and communication technology (ICT) systems supporting collaborative business processes. In this work we introduce a categorization for the classification of modeling languages and approaches used to model collaborative business processes. Considering an example, we show how the classification of modeling languages and approaches facilitates the development of methodologies for collaborative business processes.
Where is system architecture heading? The special interest group on Computer and systems Architecture (Fachausschuss Rechner- und Systemarchitektur) of the German computer and information technology associations GI an...
详细信息
ISBN:
(数字)9783540247142
ISBN:
(纸本)9783540212386
Where is system architecture heading? The special interest group on Computer and systems Architecture (Fachausschuss Rechner- und Systemarchitektur) of the German computer and information technology associations GI and ITG a- ed this question and discussed it during two Future Workshops in 2002. The result in a nutshell: Everything will change but everything else will remain. Future systems technologies will build on a mature basis of silicon and IC technology,onwell-understoodprogramminglanguagesandsoftwareengineering techniques, and on well-established operating systems and middleware concepts. Newer and still exotic but exciting technologies like quantum computing and DNA processing are to be watched closely but they will not be mainstream in the next decade. Although there will be considerable progress in these basic technologies, is there any major trend which uni?es these diverse developments? There is a common denominator – according to the result of the two - ture Workshops – which marks a new quality. The challenge for future systems technologies lies in the mastering of complexity. Rigid and in?exible systems, built under a strict top-down regime, have reached the limits of manageable complexity, as has become obvious by the recent failure of several large-scale projects. Nature is the most complex system we know, and she has solved the problem somehow. We just haven’t understood exactly how nature does it. But it is clear that systems designed by nature, like an anthill or a beehive or a swarm of birds or a city, are di?erent from today’s technical systems that have beendesignedbyengineersandcomputerscientists.
暂无评论