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Author Indrusiak, Leando Soares, author.

Title Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing.

Publication Info. Bloomfield : River Publishers, 2016.

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 All Libraries - Shared Downloadable Materials  Taylor & Francis Open Access Ebook    Downloadable
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Description 1 online resource (178 pages).
data file rda
Series River Publishers Series in Information Science and Technology Ser.
River Publishers Series in Information Science and Technology Ser.
Note Print version record.
Contents Front 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.
Chpater 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.
2.2.4 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.
3.2 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.
4.2 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.
Note 5.1.2 Platform Model.
Subject Resource allocation.
Embedded computer systems.
High performance computing.
Embedded computer systems. (OCoLC)fst00908298
High performance computing. (OCoLC)fst00956032
Resource allocation. (OCoLC)fst01095652
Genre/Form Electronic books.
Added Author Dziurzanski, Piotr.
Singh, Amit Kumar (Of Jaypee University of Information Technology)
Other Form: Print version: Indrusiak, Leando Soares. Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing. Bloomfield : River Publishers, ©2016 9788793519084
ISBN 9788793519077 (electronic book)
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