OPARU ist das OPen Access Repositorium der Universität Ulm mit aktueller Software, neuem Layout und neuen Funktionalitäten. Mitglieder und Angehörige der Universität Ulm können wie gewohnt ihre elektronischen Publikationen, wie beispielsweise Dissertationen, auf dem Repositorium veröffentlichen. Als weiteres Feature ist die Ablagemöglichkeit von Forschungsdaten geplant, mit denen Wissenschaftler ihre publizierten Ergebnisse untermauern und weitere Zitationen erhalten können.

Leitlinien | Kurzinfo OPARU | Open Access an der Universität Ulm | OA-Resolution

  • Inversion of dynamical scattering from large-angle rocking-beam electron diffraction patterns 

    Wang, Feng (Universität Ulm, 2017-04-27)
    A method for ab-initio structure factor retrieval from large-angle rocking-beam electron diffraction (LARBED)data of thin crystals is described and tested. This method determines crystal structure factors and specimen ...
  • Konzept der Akademischen Ausbildung am Bundeswehrkrankenhaus Ulm 

    Becker, Heike; Claußsnitzer, Christian; Friemert, Benedikt; Grobecker, Susanne; Gümbel, Hermann; Häfner, Simon; Hoffmann, Ralf; Kremmeter, Susanne; Kulla, Martin; Lampl, Lorenz; Lorenz, Kai; Martinschek, Andreas; Mauer, Uwe; Metrikat, Jens; Tisch, Matthias; Wilde, Frank; Sparwasser, Christoph; Kulla, Martin; Lampl, Lorenz (Universität Ulm, 2017-04-26)
    Das Manuskript "Konzept der akademischen Ausbildung am Bundeswehrkrankenhaus Ulm" dient der Information der Studierenden im Praktischen Jahr. Es enthält eine Übersicht der klinischen Abteilungen des Bundeswehrkrankenhauses ...
  • Data collection framework: project deliverable D4.1, revision 2 

    Papazachos, Zafeirios; Bharbuiya, Sakil; Kilpatrick, Peter; Wesner, Stefan; Schubert, Lutz; Domaschka, Jörg; Whigham, Darren; Hauser, Christopher; Ali-Eldin, Ahmed; Nikolopoulos, Dimitrios S.; Sheridan, Craig (Universität Ulm, 2017-04-21)
    This deliverable will detail the requirements of the data collection framework to be deployed for the project. The requirements include the performance and energy indicators that the data collection framework is expected ...
  • Preliminary results from optimisation models validation and experimentation: project deliverable D6.2 

    Svorobej, Sergej; Byrne, James; Castañé, Gabriel González; Krzywda, Jakub; Groenda, Henning; Stier, Christian; Domaschka, Jörg; Ahir, Mayur; Byrne, Peter J.; Östberg, Per-Olov (Universität Ulm, 2017-04-21)
    Since the arrival of cloud computing, a significant amount of research has been and continues to be carried out towards the creation of efficient optimisation strategies for meeting certain optimisation goals such as energy ...
  • CactoSim simulation framework initial prototype: project deliverable D6.1 

    Svorobej, Sergej; Byrne, James; Byrne, PJ; Groenda, Henning; Stier, Christian; Domaschka, Jörg; Wesner, Stefan; Krzywda, Jakub; Östberg, Per-Olov (Universität Ulm, 2017-04-21)
    This deliverable provides supporting documentation for the official deliverable D6.1, the initial release of the CactoSim simulation framework. It presents the reader with the scope of the deliverable, initial requirements ...
  • Evaluation methodology for the CACTOS runtime and prediction toolkits: project deliverable D5.4 

    Stier, Christian; Groenda, Henning; Whigham, Darren; Bharbuiya, Sakil; Papazachos, Zafeirios; Hauser, Christopher; Krzywda, Jakub; Östberg, Per-Olov (Universität Ulm, 2017-04-21)
    Infrastructure as a Service (IaaS) cloud data centres enable customers to run arbitrary software systems on virtualised infrastructure. In contrast to Software or Platform as a Service approaches, customers do not need to ...
  • CACTOS toolkit version 2: accompanying document for prototype deliverable D5.2.2 

    Groenda, Henning; Stier, Christian; Krzywda, Jakub; Byrne, James; Svorobej, Sergej; Castañé, Gabriel González; Papazachos, Zafeirios; Sheridan, Craig; Whigham, Darren; Hauser, Christopher; Tsitsipas, Athanasios; Domaschka, Jörg; Ali-Eldin, Ahmed; Östberg, Per-Olov (Universität Ulm, 2017-04-21)
    This document is accompanying material for the prototype deliverable D5.2.2. It describes the changes for the second version of the CACTOS Toolkit and provides details on the integration between the tools and toolkits. A ...
  • CACTOS toolkit version 1: project deliverable D5.2.1 

    Groenda, Henning; Stier, Christian; Krzywda, Jakub; Byrne, James; Svorobej, Sergej; Papazachos, Zafeirios; Sheridan, Craig; Whigham, Darren; Östberg, Per-Olov (Universität Ulm, 2017-04-21)
    In Infrastructure as a Service (IaaS) cloud data centres, customers can run their software on the virtualized infrastructure of a data centre. They benefit from easy scalability and pay-as-you-go payment models and are ...
  • Model integration method and supporting tooling: project deliverable D5.1 

    Groenda, Henning; Stier, Christian; Krzywda, Jakub; Byrne, James; Svorobej, Sergej; Papazachos, Zafeirios; Sheridan, Craig; Whigham, Darren; Östberg, Per-Olov (Universität Ulm, 2017-04-21)
    The CACTOS project aims to improve the operational efficiency of cloud data centres by supporting data centre operators in the planning and operation of heterogeneous data centres. One major goal of CACTOS is to enable ...
  • Final optimization model: project deliverable D3.4 

    Ali-Eldin, Ahmed; Krzywda, Jakub; Lakew, Ewnetu Bayuh; Sedeghat, Mina; Domaschka, Jörg; Östberg, Per-Olov (Universität Ulm, 2017-04-21)
    This deliverable describes the final version of the optimization model and algorithms implemented in CactoOpt. The model and algorithms include description of the implemented autoscaling algorithms, their integration with ...

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