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oapen-20.500.12657-597302022-11-29T03:30:00Z Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing Indrusiak, Leando Soares Dziurzanski, Piotr Kumar Singh, Amit Computer architecture and logic design Energy bic Book Industry Communication::U Computing & information technology::UY Computer science::UYF Computer architecture & logic design bic Book Industry Communication::P Mathematics & science::PH Physics::PHD Classical mechanics::PHDY Energy 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. 2022-11-28T16:03:30Z 2022-11-28T16:03:30Z 2016 book ONIX_20221128_9781000794380_14 9781000794380 9788793519084 9781003337997 https://library.oapen.org/handle/20.500.12657/59730 eng application/pdf n/a 9781000794380.pdf Taylor & Francis River Publishers 10.1201/9781003337997 10.1201/9781003337997 7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb 9781000794380 9788793519084 9781003337997 River Publishers 178 open access
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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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