LEADER 03323nam 2200589 450 001 9910632996703321 005 20221129 010 $a1-00-333799-6 010 $a1-000-79126-2 010 $a1-003-33799-6 010 $a87-93519-07-9 035 $a(CKB)4340000000257880 035 $a(MiAaPQ)EBC5314432 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/94317 035 $a(MiAaPQ)EBC7245126 035 $a(Au-PeEL)EBL7245126 035 $a(EXLCZ)994340000000257880 100 $a20180405h20172017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aDynamic resource allocation in embedded, high-performance and cloud computing /$fLeandro Soares Indrusiak, Piotr Dziurzanski, Amit Kumar Singh 210 $cTaylor & Francis$d2016 210 1$aGistrup, Denmark ;$aDelft, Netherlands :$cRiver Publishers,$d2017. 210 4$dİ2017 215 $a1 online resource (153 pages) $cillustrations, tables 225 1 $aRiver Publishers Series in Information Science and Technology 311 $a87-93519-08-7 320 $aIncludes bibliographical references. 330 $aThe availability of many-core computing platforms enables a wide variety of technical solutions for systems across the embedded, high-performance and cloud computing domains. However, large scale manycore systems are notoriously hard to optimise. Choices regarding resource allocation alone can account for wide variability in timeliness and energy dissipation (up to several orders of magnitude). Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing covers dynamic resource allocation heuristics for manycore systems, aiming to provide appropriate guarantees on performance and energy efficiency. It addresses different types of systems, aiming to harmonise the approaches to dynamic allocation across the complete spectrum between systems with little flexibility and strict real-time guarantees all the way to highly dynamic systems with soft performance requirements. Technical topics presented in the book include: ? Load and Resource Models? Admission Control? Feedback-based Allocation and Optimisation? Search-based Allocation Heuristics? Distributed Allocation based on Swarm Intelligence? Value-Based AllocationEach of the topics is illustrated with examples based on realistic computational platforms such as Network-on-Chip manycore processors, grids and private cloud environments. 410 0$aRiver Publishers series in information science and technology. 606 $aResource allocation 606 $aEmbedded computer systems 606 $aHigh performance computing 610 $aComputer architecture and logic design 610 $aEnergy 615 0$aResource allocation. 615 0$aEmbedded computer systems. 615 0$aHigh performance computing. 676 $a300.151 700 $aIndrusiak$b Leandro Soares$01269280 702 $aDziurzanski$b Piotr 702 $aSingh$b Amit Kumar 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910632996703321 996 $aDynamic resource allocation in embedded, high-performance and cloud computing$92986912 997 $aUNINA