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dc.contributor.editorIndrusiak, Leando Soares
dc.contributor.editorDziurzanski, Piotr
dc.contributor.editorKumar Singh, Amit
dc.date.accessioned2022-11-28T16:03:30Z
dc.date.available2022-11-28T16:03:30Z
dc.date.issued2016
dc.identifierONIX_20221128_9781000794380_14
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/59730
dc.description.abstractThe 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic designen_US
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PH Physics::PHD Classical mechanics::PHDY Energyen_US
dc.subject.otherComputer architecture and logic design
dc.subject.otherEnergy
dc.titleDynamic Resource Allocation in Embedded, High-Performance and Cloud Computing
dc.typebook
oapen.identifier.doi10.1201/9781003337997
oapen.relation.isPublishedBy7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb
oapen.relation.isbn9781000794380
oapen.relation.isbn9788793519084
oapen.relation.isbn9781003337997
oapen.imprintRiver Publishers
oapen.pages178
peerreview.anonymitySingle-anonymised
peerreview.idbc80075c-96cc-4740-a9f3-a234bc2598f1
peerreview.open.reviewNo
peerreview.publish.responsibilityPublisher
peerreview.review.stagePre-publication
peerreview.review.typeProposal
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.titleProposal review
oapen.review.commentsTaylor & Francis open access titles are reviewed as a minimum at proposal stage by at least two external peer reviewers and an internal editor (additional reviews may be sought and additional content reviewed as required).


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