4,699 research outputs found

    Annual Report 1999 / Department for Computer Science

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    Selbstdarstellung des Instituts für Informatik der BTU Cottbus und Berichte der Lehrstühle für das Jahr 1999.Presentation of the Department for Computer Science of the BTU Cottbus and reports of the chairs at the department for the year 1999

    Organic Design of Massively Distributed Systems: A Complex Networks Perspective

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    The vision of Organic Computing addresses challenges that arise in the design of future information systems that are comprised of numerous, heterogeneous, resource-constrained and error-prone components or devices. Here, the notion organic particularly highlights the idea that, in order to be manageable, such systems should exhibit self-organization, self-adaptation and self-healing characteristics similar to those of biological systems. In recent years, the principles underlying many of the interesting characteristics of natural systems have been investigated from the perspective of complex systems science, particularly using the conceptual framework of statistical physics and statistical mechanics. In this article, we review some of the interesting relations between statistical physics and networked systems and discuss applications in the engineering of organic networked computing systems with predictable, quantifiable and controllable self-* properties.Comment: 17 pages, 14 figures, preprint of submission to Informatik-Spektrum published by Springe

    Value Enhancement of Strategic Supply Networks for Value Bundles through Digital Social Networks

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    Value bundles as customer-focused combination of physical products, services and intangible assets are getting more and more strategic offerings for companies. Using value bundles as differentiation strategy leads to a significant integration of customer processes in existing business processes on the company side and to complex processes on the supplier side. The task for the offering company to find the best suppliers suitable for the offering is challenging. Regarding especially the intangible assets of value bundles there is a need for relevant information from the potential suppliers. Digital social networks like online communities, blogs or wikis might be a place to find some of these information. With this background the question arises in which way digital social networks may influence procurement processes when dealing with value bundles. To answer this question different forms of digital social network are investigated and evaluated. The evaluation leads to recommendations how to use digital social networks for the enhancement of procurement processes for value bundles in a supply network

    Using webcrawling of publicly available websites to assess E-commerce relationships

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    We investigate e-commerce success factors concerning their impact on the success of commerce transactions between businesses companies. In scientific literature, many e-commerce success factors are introduced. Most of them are focused on companies' website quality. They are evaluated concerning companies' success in the business-to- consumer (B2C) environment where consumers choose their preferred e-commerce websites based on these success factors e.g. website content quality, website interaction, and website customization. In contrast to previous work, this research focuses on the usage of existing e-commerce success factors for predicting successfulness of business-to-business (B2B) ecommerce. The introduced methodology is based on the identification of semantic textual patterns representing success factors from the websites of B2B companies. The successfulness of the identified success factors in B2B ecommerce is evaluated by regression modeling. As a result, it is shown that some B2C e-commerce success factors also enable the predicting of B2B e-commerce success while others do not. This contributes to the existing literature concerning ecommerce success factors. Further, these findings are valuable for B2B e-commerce websites creation

    Inherence of Ratios for Service Identification and Evaluation

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    Service-oriented architectures (SOA) offer a conceptual and technical solution for many problems. However, the realizationand even more the management of a SOA often remains a very hard task. A continuous evaluation of existing services andservice candidates is necessary to implement, maintain and enhance a SOA. This is far from being trivial because of thesemantic gap between requirements and technical implementations. Model-based solutions may offer a possibility to cope withthe complexity of the necessary information, but a series of conflicts needs to be resolved especially for distributed modelingprojects. These conflicts create several difficulties when trying to generate ratios that can measure the quality of a service orservice candidate. This article presents an approach to generate ratios that are inherent to a service (candidate). Inherencemeans that the ratios are only dependent on the service and not on how the necessary information was modeled
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