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  • 1
    Online Resource
    Online Resource
    Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing (2016)
    Bloomfield : River Publishers
    Details
    UID:
    gbv_1870232933
    Format: 1 online resource (178 pages)
    ISBN: 8793519079 , 9788793519077 , 9781003337997 , 1003337996 , 9781000791266 , 1000791262 , 9781000794380 , 1000794385
    Series Statement: River Publishers Series in Information Science and Technology Ser
    Content: Front Cover; Half Title Page; RIVER PUBLISHERS SERIES IN INFORMATION SCIENCE AND TECHNOLOGY; Title Page; Copyright Page; Contents; Preface; Acknowledgements; List of Figures; List of Tables; List of Algorithms; List of Abbreviations; Chapter 1 -- Introduction; 1.1 Application Domains; 1.2 RelatedWork; 1.2.1 Allocation Techniques for Guaranteed Performance; 1.2.2 Allocation Techniques for Energy-efficiency; 1.3 Challenges; 1.3.1 Load Representation; 1.3.2 Monitoring and Feedback; 1.3.3 Allocation of Modal Applications; 1.3.4 Distributed Allocation; 1.3.5 Value-based Allocation.
    Additional Edition: ISBN 8793519087
    Additional Edition: ISBN 9788793519084
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 8793519087
    Language: English
    Keywords: Electronic books.
    DOI: 10.1201/9781003337997
    URL: kostenfrei
    URL: Click here to view book
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    Stabi Berlin
    UB Potsdam
    HPol Brandenburg
    MPI Bildungsforschung
  • 2
    Online Resource
    Online Resource
    Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing (2016)
    [Erscheinungsort nicht ermittelbar] : Taylor & Francis
    Details
    UID:
    gbv_1832231569
    Format: 1 Online-Ressource (178 p.)
    ISBN: 9781003337997 , 9781000794380 , 9788793519084
    Content: The availability of many-core computing platforms enables a wide variety of technical solutions for systems across the embedded, high-performance and cloud computing domains. However, large scale manycore systems are notoriously hard to optimise. Choices regarding resource allocation alone can account for wide variability in timeliness and energy dissipation (up to several orders of magnitude). Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing covers dynamic resource allocation heuristics for manycore systems, aiming to provide appropriate guarantees on performance and energy efficiency. It addresses different types of systems, aiming to harmonise the approaches to dynamic allocation across the complete spectrum between systems with little flexibility and strict real-time guarantees all the way to highly dynamic systems with soft performance requirements. Technical topics presented in the book include: • Load and Resource Models• Admission Control• Feedback-based Allocation and Optimisation• Search-based Allocation Heuristics• Distributed Allocation based on Swarm Intelligence• Value-Based AllocationEach of the topics is illustrated with examples based on realistic computational platforms such as Network-on-Chip manycore processors, grids and private cloud environments
    Note: English
    Language: Undetermined
    URL: kostenfrei
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Stabi Berlin
    UB Potsdam
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