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Auflistung nach Autor:in "Seifert, Michael"

1 - 3 von 3
  • Textdokument
    BPMN for Disaster Response Processes
    (INFORMATIK 2017, 2017) Betke, Hans; Seifert, Michael
    The application of business process management (BPM) methods to disaster response management (DRM) is a frequently discussed issue. Although it is seen as very challenging the potential benefits of BPM-methods to increase effectivity and efficiency in planning and monitoring the several activities of disaster management and their related resources are promising. The use of a standard modelling language like Business Process Model and Notation (BPMN) is recommended because of its prevalence and maturity of available tools. However, the standard set of elements in BPMN is not comprehensible enough to take account of some special requirements of DRM like importance of place-related information or multiple different resources. The research in this paper presents a methodological extension of BPMN based on an ontology of critical DRM-interrelations used to enhance the BPMN meta-model.
  • Textdokument
    “HySLAC” – A Conceptual Model for Service Level Agreement Compliance in Hybrid Cloud Architectures
    (INFORMATIK 2020, 2021) Seifert, Michael; Kuehnel, Stephan
    Cloud computing provides IT infrastructures and services via networks, and it enables economic potentials for end users as well as a focus on core competencies. In addition to its extensive potentials, cloud computing in general, and hybrid cloud computing in particular, pose new challenges in the negotiation and formulation of Service Level Agreements, as well as in the monitoring of and compliance with contractual requirements. An understanding of cloud service and deployment models, perspectives, roles, and contractual terms is essential for a successful and compliant adoption of hybrid clouds. Consequently, this paper proposes the novel HySLAC model, focusing on service level agreement compliance in hybrid cloud architectures. Based on eight model requirements and a systematic literature review, the HySLAC model was conceptualized with UML 2.0. It comprises eight UML classes and five associated enumerations, and it is instantiated by means of a case study. The model offers scientific and practical application capabilities for the analysis of service components as well as hybrid cloud service compositions, and it opens up potentials for decision support.
  • Konferenzbeitrag
    Utilizing promoter pair orientations for HMM-based analysis of ChIP-chip data
    (German Conference on Bioinformatics, 2008) Seifert, Michael; Keilwagen, Jens; Strickert, Marc; Grosse, Ivo
    Array-based analysis of chromatin immunoprecipitation data (ChIP-chip) is a powerful technique for identifying DNA target regions of individual transcription factors. Here, we present three approaches, a standard log-fold-change analysis (LFC), a basic method based on a Hidden Markov Model (HMM), and an ex- tension of the HMM approach to an HMM with scaled transition matrices (SHMM) to incorporate different promoter pair orientations. We compare the prediction of ABI3 target genes for the three methods and evaluate these genes using Geneves- tigator expression profiles and transient assays. We find that the application of the SHMM leads to a superior identification of ABI3 target genes. The software and the ChIP-chip data set used in our case study can be downloaded from http://dig.ipk- gatersleben.de/SHMMs/ChIPchip/ChIPchip.html.