Book 2017

Self-Aware Computing Systems

ISBN: 978-3-319-47472-4 (Print) 978-3-319-47474-8 (Online)

Table of contents (26 chapters)

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  1. Front Matter

    Pages i-xviii

  2. Introduction

    1. Front Matter

      Pages 1-1

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      Chapter

      Pages 3-16

      The Notion of Self-aware Computing

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      Chapter

      Pages 17-49

      Self-aware Computing Systems: Related Concepts and Research Areas

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      Chapter

      Pages 51-85

      Towards a Framework for the Levels and Aspects of Self-aware Computing Systems

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      Chapter

      Pages 87-106

      Reference Scenarios for Self-aware Computing

  3. System Architectures

    1. Front Matter

      Pages 107-107

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      Chapter

      Pages 109-147

      Architectural Concepts for Self-aware Computing Systems

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      Chapter

      Pages 149-189

      Generic Architectures for Individual Self-aware Computing Systems

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      Chapter

      Pages 191-235

      Architectures for Collective Self-aware Computing Systems

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      Chapter

      Pages 237-275

      State of the Art in Architectures for Self-aware Computing Systems

  4. Methods and Algorithms

    1. Front Matter

      Pages 277-277

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      Chapter

      Pages 279-304

      Self-modeling and Self-awareness

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      Chapter

      Pages 305-336

      Transition Strategies for Increasing Self-awareness in Existing Types of Computing Systems

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      Chapter

      Pages 337-373

      Synthesis and Verification of Self-aware Computing Systems

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      Chapter

      Pages 375-399

      Self-adaptation for Individual Self-aware Computing Systems

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      Chapter

      Pages 401-435

      Self-adaptation in Collective Self-aware Computing Systems

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      Chapter

      Pages 437-464

      Metrics and Benchmarks for Self-aware Computing Systems

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      Chapter

      Pages 465-481

      Assessing Self-awareness

  5. Applications and Case Studies

    1. Front Matter

      Pages 483-483

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      Chapter

      Pages 485-505

      Run-Time Models for Online Performance and Resource Management in Data Centers

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      Chapter

      Pages 507-528

      Online Learning of Run-Time Models for Performance and Resource Management in Data Centers

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      Chapter

      Pages 529-553

      Online Workload Forecasting

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      Chapter

      Pages 555-574

      State of Practice of Non-self-aware Virtual Machine Management in Cloud Data Centers

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      Chapter

      Pages 575-610

      Self-awareness of Cloud Applications

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