Cloud Computing. First International Conference, CloudComp 2009 Munich, Germany, October 19–21, 2009 Revised Selected Papers

Research Article

Self-managed Microkernels: From Clouds towards Resource Fabrics

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  • @INPROCEEDINGS{10.1007/978-3-642-12636-9_12,
        author={Lutz Schubert and Stefan Wesner and Alexander Kipp and Alvaro Arenas},
        title={Self-managed Microkernels: From Clouds towards Resource Fabrics},
        proceedings={Cloud Computing. First International Conference, CloudComp 2009 Munich, Germany, October 19--21, 2009 Revised Selected Papers},
        proceedings_a={CLOUDCOMP},
        year={2012},
        month={5},
        keywords={distributed operating systems SOA kw]multi-core systems large-scale HPC heterogeneous systems},
        doi={10.1007/978-3-642-12636-9_12}
    }
    
  • Lutz Schubert
    Stefan Wesner
    Alexander Kipp
    Alvaro Arenas
    Year: 2012
    Self-managed Microkernels: From Clouds towards Resource Fabrics
    CLOUDCOMP
    Springer
    DOI: 10.1007/978-3-642-12636-9_12
Lutz Schubert1,*, Stefan Wesner1,*, Alexander Kipp1,*, Alvaro Arenas2,*
  • 1: HLRS — Höchstleistungsrechenzentrum Universität Stuttgart
  • 2: STFC Rutherford Appleton Laboratory, e-Science Centre
*Contact email: schubert@hlrs.de, wesner@hlrs.de, kipp@hlrs.de, alvaro.arenas@stfc.ac.uk

Abstract

Cloud Computing provides a solution for remote hosting of applications and processes in a scalable and managed environment. With the increasing number of cores in a single processor and better network performance, provisioning on platform level becomes less of an issue for future machines and thus for future business environments. Instead, it will become a major issue to manage the vast amount of computational resources within the direct environment of each process — across the web or locally. Future resource management will have to investigate in particular into dynamic & intelligent processes (re)distribution according to resource availability and demand. This paper elaborates the specific issues faced in future “cloud environments” and proposes a microkernel architecture designed to compensate these deficits.