The KLU faculty, post-docs, and PhD candidates regularly publish the results of their research in scientific journals. You will find a complete overview of all KLU publications below (e.g. articles in peer-reviewed journals, professional journals, books, working papers, and conference proceedings). Search for relevant terms and keywords, or filter the list by name, year of publication or type of publication. The references include DOIs and abstracts where available, and you can download them to your own reference database or platform. We regularly update the database with new publications.

Book Chapters

Copy reference link   DOI: 10.1007/978-3-642-12814-1_21

Abstract: Business capabilities represent potentials of an organisation to reach a specific goal or outcome. Business capabilities abstract from processes, resources and people that are required to provide the potential and are connected with a role model of provider and customer, both, internally and externally to an organisation. While related work provides fundamental concepts and usage descriptions of the business capability approach, so far the aspect of visualisation of business capabilities in the context of business analysis was only rudimentary addressed. In this paper, a three-dimensional business capability visualisation metaphor for business analyses is outlined which supports the visualisation of business capabilities and their qualifying dimensions but also the representation of their complex multi-dimensional interrelations.

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Copy reference link   DOI: 10.4018/978-1-61520-686-5.ch027

Abstract: The current trend in Service Oriented Computing (SOC) is to enable support for new delivery models of software and applications. These endeavours impose requirements on the resources and services used, on the way applications are created and on the QoS characteristics of the applications and the supporting infrastructure. Scientific applications on the other hand require improved robustness and reliability of the supporting Grid infrastructures where resources appear and disappear constantly. Enabling business model like Software as a Service (SaaS), Infrastructure as a Service (IaaS), and guaranteeing reliability of Grid infrastructures are requirements that both business and scientific application nowadays impose. The convergence of existing approaches from SOC and Grid Computing is therefore an obvious need. In this work we give an overview of the state-of-the-art of the overlapping research done in the area of SOC and Grid computing with respect to meeting the requirements of the applications in these two areas. We show that the requirements of business applications that already exploit service-oriented architectures (SOA) and the scientific application utilizing Grid infrastructures overlap. Due to the limited extent of cooperation between the two research communities the research results are either overlapping or diverging in spite of the similarities in requirements. Notably, some of the techniques developed in each area are needed but still missing in the other area and vice versa. We argue therefore that in order to enable an enterprise-strength service-oriented infrastructure one needs to combine and leverage the existing Grid and Service middleware in terms of architectures and implementations. We call such an infrastructure the Business Grid. Based on the Business Grid vision we focus in this work on presenting how reliability and robustness of the Business Grid can be improved by employing approaches for flexibility of service compositions. An overview and assessment of these approaches are presented together with recommendations for use. Based on the assumption that Grid services are Web services, these approaches can be utilized to improve the reliability of the scientific applications thus drawing on the advantages flexible workflows provide. This way we improve the robustness of scientific applications by making them flexible and hence improve the features of business applications that employ Grid resources and Grid service compositions to realize the SaaS, IaaS etc. delivery models.

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Copy reference link   DOI: doi:10.1007/978-3-642-00416-2_24

Abstract: This chapter discusses the evolution of standards for BPM. The focus is on technology-related standards, especially on standards for specifying process models. A discussion of the two fundamental approaches for modeling processes, graph-based and operator-based, supports a better understanding of the evolution of standards. For each standard discussed, we describe its core concepts and its impact on the evolution of standards. The corresponding influence on the overall architecture of BPM environments is worked out.

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Copy reference link   DOI: doi:10.1007/978-3-642-17599-2_3

Abstract: In the S-Cube research framework, the Service Composition and Co-ordination (SCC) layer encompasses the functions required for the aggregation of multiple services into a single composite service offering, with the execution of the constituent services in a composition controlled through the Service Infrastructure (SI) layer. The SCC layer manages the control and data flow between the services in a service-based application by, for example, specifying workflow models and using a workflow engine for runtime control of service execution.This chapter presents an overview of the state-of-the-art in service composition modeling and covers two main areas: service composition models and languages and approaches to the synthesis of service compositions including model-driven, automated, and QoS-aware service composition. The contents of this chapter can be seen as a basis for aligning and improving existing approaches and solutions for service composition and provide directions for future S-Cube research.

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Copy reference link   DOI: doi:10.1007/978-3-642-17226-7_11

Abstract: The IT support for scientific experimenting and e-science is currently not at the level of maturity of the support enterprises obtain. Since recently there is a trend of reusing existing enterprise software and related concepts for scientific experiments, scientific workflows and simulation. Most notably these are the workflow technology, which is widely used in business process management (BPM), and integration paradigms like the service oriented architecture (SOA). In this work we give an overview of open issues in the support for scientific experiments and possible approaches to addressing them in a service-based environment. We identify the need for enhancing the BPM practices, technologies and techniques in order to render them applicable in the area of scientific experimenting. We stress on the even greater importance of workflow flexibility and also show why flexibility techniques are crucial when it is about improving the IT support for scientists.

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Copy reference link   DOI: doi:10.1007/978-3-642-00899-3_8

Abstract: The common overarching goal of service bus and Grid middleware is "virtualization" – virtualization of business functions and virtualization of resources, respectively. By combining both capabilities a new infrastructure called "Business Grid" results. This infrastructure meets the requirements of both business applications and scientific computations in a unified manner and in particular those that are not addressed by the middleware infrastructures in each of the fields. Furthermore, it is the basis for enacting new trends like Software as a Service or Cloud computing. In this paper the overall architecture of the Business Grid is outlined. The Business Grid applications are described and the need for their customizability and adaptability is advocated. Requirements on the Business Grid like concurrency, multi-tenancy and scalability are addressed. The concept of "provisioning flows" and other mechanisms to enable scalability as required by a high number of concurrent users are outlined.

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Copy reference link   DOI: 10.4018/978-1-60566-288-6.ch014

Abstract: Even though process orientation/BPM is a widely accepted paradigm with heavy impact on industry and research the available technology does not support the business professionals’ tasks in an appropriate manner that is in a way allowing processes modeling using concepts from the business domain. This results in a gap between the business people expertise and the IT knowledge required. The current trend in bridging this gap is to utilize technologies developed for the Semantic Web, for example ontologies, while maintaining reusability and flexibility of processes. In this chapter the authors present an overview of existing technologies, supporting the BPM lifecycle, and focus on potential benefits Semantic Web technologies can bring to BPM. The authors will show how these technologies help automate the transition between the inherently separate/detached business professionals’ level and the IT level without the burden of additional knowledge acquisition on behalf of the business professionals. As background information they briefly discuss existing process modeling notations like the Business Process Modeling Notation (BPMN) as well as the execution centric Business Process Execution Language (BPEL), and their limitations in terms of proper support for the business professional. The chapter stresses on the added value Semantic Web technologies yield when leveraged for the benefit of BPM. For this the authors give examples of existing BPM techniques that can be improved by using Semantic Web technologies, as well as novel approaches which became possible only through the availability of semantic descriptions. They show how process model configuration can be automated and thus simplified and how flexibility during process execution is increased. Additionally, they present innovative techniques like automatic process composition and auto-completion of process models where suitable process fragments are automatically discovered to make up the process model. They also present a reference architecture of a BPM system that utilizes Semantic Web technologies in an SOA environment.

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