Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing

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 accou...

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Detalles Bibliográficos
Autores principales: Leando Soares Indrusiak, Piotr Dziurzanski, Amit Kumar Singh
Formato: Libro
Publicado: River Publishers 2016
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Amit Kumar Singh
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      aug:
        au:
          Leando Soares Indrusiak
          Piotr Dziurzanski
          Amit Kumar Singh
      su:
        Resource allocation
        Embedded computer systems
        High performance computing
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          COMPUTERS / Computer Architecture
          SCIENCE / Energy
          Resource allocation
          Embedded computer systems
          High performance computing
      ab: 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.
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