Self-Aware Computing Systems

Table of Contents

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   Book Overview
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   Chapter 1 The Notion of Self-aware Computing
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   Chapter 2 Self-aware Computing Systems: Related Concepts and Research Areas
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   Chapter 3 Towards a Framework for the Levels and Aspects of Self-aware Computing Systems
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   Chapter 4 Reference Scenarios for Self-aware Computing
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   Chapter 5 Architectural Concepts for Self-aware Computing Systems
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   Chapter 6 Generic Architectures for Individual Self-aware Computing Systems
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   Chapter 7 Architectures for Collective Self-aware Computing Systems
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   Chapter 8 State of the Art in Architectures for Self-aware Computing Systems
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    Chapter 9 Self-modeling and Self-awareness
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    Chapter 10 Transition Strategies for Increasing Self-awareness in Existing Types of Computing Systems
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    Chapter 11 Synthesis and Verification of Self-aware Computing Systems
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    Chapter 12 Self-adaptation for Individual Self-aware Computing Systems
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    Chapter 13 Self-adaptation in Collective Self-aware Computing Systems
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    Chapter 14 Metrics and Benchmarks for Self-aware Computing Systems
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    Chapter 15 Assessing Self-awareness
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    Chapter 16 Run-Time Models for Online Performance and Resource Management in Data Centers
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    Chapter 17 Online Learning of Run-Time Models for Performance and Resource Management in Data Centers
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    Chapter 18 Online Workload Forecasting
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    Chapter 19 State of Practice of Non-self-aware Virtual Machine Management in Cloud Data Centers
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    Chapter 20 Self-awareness of Cloud Applications
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    Chapter 21 Software Architectures for Self-protection in IaaS Clouds
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    Chapter 22 Benchmarking Intrusion Detection Systems with Adaptive Provisioning of Virtualized Resources
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    Chapter 23 Self-aware Networks: The Cognitive Packet Network and Its Performance
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    Chapter 24 Leveraging Design and Runtime Architecture Models to Support Self-awareness
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    Chapter 25 Spacecraft Autonomous Reaction Capabilities, Control Approaches, and Self-aware Computing
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    Chapter 26 Self-aware Computing Systems: Open Challenges and Future Research Directions