| Description |
1 online resource (178 pages). |
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text file |
| Series |
River Publishers Series in Information Science and Technology Ser.
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River Publishers Series in Information Science and Technology Ser.
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| 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. |
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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. |
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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. |
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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. |
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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. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Resource allocation.
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Resource allocation. |
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Embedded computer systems.
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Embedded computer systems. |
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High performance computing.
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High performance computing. |
| Genre/Form |
Electronic books.
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| Added Author |
Dziurzanski, Piotr.
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Kumar Singh, Amit.
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| Other Form: |
Print version: Indrusiak, Leando Soares. Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing. Bloomfield : River Publishers, ©2016 9788793519084 |
| ISBN |
8793519079 |
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9788793519077 (electronic book) |
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8793519087 |
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9788793519084 |
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