000 07332cam a2200781 u 4500
999 _c95567
_d95567
001 12647409
005 20260528165947.0
006 m o d
007 cr |n|---|||||
008 180324s2016 xx o 000 0 eng d
020 _a8793519079
020 _a9788793519077
_q(electronic bk.)
020 _a9781003337997
_q(electronic bk.)
020 _a1003337996
_q(electronic bk.)
020 _a9781000791266
_q(electronic bk. : EPUB)
020 _a1000791262
_q(electronic bk. : EPUB)
020 _a9781000794380
_q(electronic bk. : PDF)
020 _a1000794385
_q(electronic bk. : PDF)
020 _z8793519087
020 _z9788793519084
024 7 _a10.1201/9781003337997
_2doi
035 _a(OCoLC)1029504486
_z(OCoLC)1029322595
_z(OCoLC)1029445087
_z(OCoLC)1029478004
_z(OCoLC)1350632506
035 9 _a(OCLCCM-CC)1029504486
037 _a9781003337997
_bTaylor & Francis
040 _aEBLCP
_beng
_epn
_cEBLCP
_dMERUC
_dYDX
_dOCLCQ
_dIDB
_dOCLCF
_dOCLCO
_dOCLCQ
_dLVT
_dUKAHL
_dOCLCQ
_dN$T
_dOCLCO
_dK6U
_dTYFRS
_dOCLCQ
_dOCLCO
_dUKKRT
_dOCLCQ
_dSFB
_dOCLCQ
_dDSC
_dOCLCL
041 _aeng
049 _aMAIN
050 4 _aT57.77
_b.I537 2017eb
072 7 _aCOM
_x011000
_2bisacsh
072 7 _aSCI
_x024000
_2bisacsh
072 7 _aUTR
_2bicssc
100 1 _aIndrusiak, Leando Soares.
245 1 0 _aDynamic Resource Allocation in Embedded, High-Performance and Cloud Computing.
260 _c2016.
264 1 _a.
_b.
_c.
300 _a1 online resource (178 pages)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aRiver Publishers Series in Information Science and Technology Ser.
500 _a5.1.2 Platform Model.
505 0 _aFront Cover; Half Title Page; RIVER PUBLISHERS SERIES IN INFORMATION SCIENCE AND TECHNOLOGY; Title Page; Copyright Page; Contents; Preface; Acknowledgements; List of Figures; List of Tables; List of Algorithms; List of Abbreviations; Chapter 1 -- Introduction; 1.1 Application Domains; 1.2 RelatedWork; 1.2.1 Allocation Techniques for Guaranteed Performance; 1.2.2 Allocation Techniques for Energy-efficiency; 1.3 Challenges; 1.3.1 Load Representation; 1.3.2 Monitoring and Feedback; 1.3.3 Allocation of Modal Applications; 1.3.4 Distributed Allocation; 1.3.5 Value-based Allocation.
505 8 _aChpater 2 -- Load and Resource Models2.1 RelatedWork; 2.2 Requirements; 2.2.1 Requirements on Modelling Load Structure; 2.2.1.1 Singleton; 2.2.1.2 Independent jobs; 2.2.1.3 Single-dependency jobs; 2.2.1.4 Communicating jobs; 2.2.1.5 Multi-dependency jobs; 2.2.2 Requirements on Modelling Load Temporal Behaviour; 2.2.2.1 Single appearance; 2.2.2.2 Strictly periodic; 2.2.2.3 Sporadic; 2.2.2.4 Aperiodic; 2.2.2.5 Fully dependent; 2.2.2.6 N out of M dependent; 2.2.3 Requirements on Modelling Load Resourcing Constraints; 2.2.3.1 Untyped job; 2.2.3.2 Single-typed job; 2.2.3.3 Multi-typed job.
505 8 _a2.2.4 Requirements on Modelling Load Characterisation2.2.4.1 Fixed load; 2.2.4.2 Probabilistic load; 2.2.4.3 Typed fixed load; 2.2.4.4 Typed probabilistic load; 2.3 An Interval Algebra for Load and Resource Modelling; 2.3.1 Modelling Load Structure; 2.3.2 Modelling Load Temporal Behaviour; 2.3.3 Modelling Load Resourcing Constraints; 2.3.4 Modelling Load Characterisation; 2.3.5 Stochastic Time; 2.4 Summary; Chapter 3 -- Feedback-Based Admission Control Heuristics; 3.1 System Model and Problem Formulation; 3.1.1 Platform Model; 3.1.2 Application Model.
505 8 _a3.2 Distributed Feedback Control Real-Time Allocation3.3 Experimental Results; 3.3.1 Controller Tuning; 3.3.2 Stress Tests; 3.3.3 RandomWorkloads; 3.4 Dynamic Voltage Frequency Scaling; 3.5 Applying Controllers to Steer DVFS; 3.6 Experimental Results; 3.6.1 Controller Tuning; 3.6.2 RandomWorkloads; 3.7 RelatedWork; 3.8 Summary; Chapter 4 -- Feedback-Based Allocation and Optimisation Heuristics; 4.1 System Model and Problem Formulation; 4.1.1 Application Model; 4.1.2 Platform Model; 4.1.3 Problem Formulation.
505 8 _a4.2 Performing Runtime Admission Control and Load Balancing to Cope with Dynamic Workloads4.3 Experimental Results; 4.3.1 Number of Executed Tasks, Rejected Tasks and Schedulability Tests; 4.3.1.1 Periodic workload; 4.3.1.2 Random workload; 4.3.2 Dynamic Slack, Setpoint and Controller Output; 4.3.2.1 Periodic workload; 4.3.2.2 Light workload; 4.3.3 Core Utilization; 4.3.4 Case Study: IndustrialWorkload Having Dependent Jobs; 4.4 RelatedWork; 4.5 Summary; Chapter 5 -- Search-Based Heuristics for Modal Application; 5.1 System Model and Problem Formulation; 5.1.1 Application Model.
520 _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.
545 0 _aLeando Soares Indrusiak, Piotr Dziurzanski, Amit Kumar Singh
588 0 _aPrint version record.
650 0 _aResource allocation.
_0http://id.loc.gov/authorities/subjects/sh85113168
650 0 _aEmbedded computer systems.
_0http://id.loc.gov/authorities/subjects/sh87006632
650 0 _aHigh performance computing.
_0http://id.loc.gov/authorities/subjects/sh95008935
650 6 _aAffectation des ressources.
650 6 _aSystèmes enfouis (Informatique)
650 6 _aSuperinformatique.
650 7 _aCOMPUTERS / Computer Architecture
_2bisacsh
650 7 _aSCIENCE / Energy
_2bisacsh
650 7 _aEmbedded computer systems
_2fast
650 7 _aHigh performance computing
_2fast
650 7 _aResource allocation
_2fast
655 4 _aElectronic books.
700 1 _aDziurzanski, Piotr.
700 1 _aKumar Singh, Amit.
776 0 8 _iPrint version:
_aIndrusiak, Leando Soares.
_tDynamic Resource Allocation in Embedded, High-Performance and Cloud Computing.
_dBloomfield : River Publishers, ©2016
_z9788793519084
830 0 _aRiver Publishers series in information science and technology.
_0http://id.loc.gov/authorities/names/no2015084441
856 4 0 _uhttps://directory.doabooks.org/handle/20.500.12854/94317
_yFull text is available at the Directory of Open Access Books. Click here to view.
942 _2ddc
_cOA