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...
-д хадгалсан:
| Формат: | Online |
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| Хэл сонгох: | англи |
| Хэвлэсэн: |
Taylor & Francis
2022
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| Нөхцлүүд: | |
| Онлайн хандалт: | ONIX_20221128_9781000794380_14 |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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| _version_ | 1869528278659760128 |
|---|---|
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-94317 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | ojs |
| spelling | doab-20.500.12854ir-943172025-08-13T13:41:50Z Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing Indrusiak, Leando Soares Dziurzanski, Piotr Kumar Singh, Amit Computer architecture and logic design Energy thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design thema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics::PHDY Energy thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design thema EDItEUR::P Mathematics and 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. 2022-11-29T04:03:48Z 2022-11-29T04:03:48Z 2022-11-28T16:03:30Z 2016 book ONIX_20221128_9781000794380_14 https://library.oapen.org/handle/20.500.12657/59730 9781000794380 9788793519084 9781003337997 https://directory.doabooks.org/handle/20.500.12854/94317 eng open access image/jpeg image/jpeg n/a n/a https://library.oapen.org/bitstream/20.500.12657/59730/1/9781000794380.pdf https://library.oapen.org/bitstream/20.500.12657/59730/1/9781000794380.pdf Taylor & Francis River Publishers 10.1201/9781003337997 10.1201/9781003337997 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 9781000794380 9788793519084 9781003337997 River Publishers 178 open access |
| spellingShingle | Computer architecture and logic design Energy thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design thema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics::PHDY Energy thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design thema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics::PHDY Energy Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing |
| title | Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing |
| title_full | Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing |
| title_fullStr | Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing |
| title_full_unstemmed | Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing |
| title_short | Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing |
| title_sort | dynamic resource allocation in embedded high performance and cloud computing |
| topic | Computer architecture and logic design Energy thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design thema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics::PHDY Energy thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design thema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics::PHDY Energy |
| topic_facet | Computer architecture and logic design Energy thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design thema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics::PHDY Energy thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design thema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics::PHDY Energy |
| url | ONIX_20221128_9781000794380_14 |