Complex Systems and Clouds ：A Self-Organization and Self-Management Perspective ( Computer Science Reviews and Trends )

Publication subTitle ：A Self-Organization and Self-Management Perspective

Publication series ：Computer Science Reviews and Trends

Author： Marinescu Dan C.

Publisher： Elsevier Science‎

Publication year： 2016

E-ISBN: 9780128040942

P-ISBN(Paperback): 9780128040416

Subject： TP3 Computers;TP301.6 algorithm theory;TP31 computer software;TP316.8 WebOS;TP393 computer network;TP393.4 international Internet

Keyword：计算机软件,算法理论,自动化技术、计算机技术

Language： ENG

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Description

Complex Systems and Clouds: A Self-Organization and Self-Management Perspective provides insights into the intricate world of self-organizing systems. Large scale distributed computer systems have evolved into very complex systems and are at the point where they need to borrow self-adapting organizing concepts from nature.

The book explores complexity in big distributed systems and in the natural processes in physics and chemistry, building a platform for understanding how self-organization in big distributed systems can be achieved. It goes beyond the theoretical description of self-organization to present principles for designing self-organizing systems, and concludes by showing the need for a paradigm shift in the development of large-scale systems from strictly deterministic to non-deterministic and adaptive.

Analyzes the effect of self-organization applied to computer clouds
Furthers research on principles of self-organization of computing and communication systems inspired by a wealth of self-organizing processes and phenomena in nature and society
Presents a unique analysis of the field, with solutions and case studies

Chapter

Front Cover

Complex Systems and Clouds: A Self-Organization and Self-Management Perspective

Dedication

Contents

Preface

Chapter 1: Complex Systems

1.1 The Thinking on Complex Systems Through the Centuries

1.2 The Many Facets of Complexity

1.3 Laws of Nature, Nondeterminism, and Complex Systems

1.4 Self-Similarity: Fractal Geometry

1.5 Power Law Distributions: Zipf's Law

1.6 Emergence, Nonlinearity, and Phase Transitions

1.7 Open Systems and the Environment

1.8 Self-Organization and Self-Organized Criticality

1.9 Cybernetics

1.10 Quantitative Characterization of Complexity: Entropy

1.11 Computational Irreducibility

1.12 The Interdisciplinary Nature of Complexity

Chapter 2: Nature-Inspired Algorithms and Systems

2.1 Cellular Automata

2.2 Epidemic Algorithms

2.3 Genetic Algorithms

2.4 Ant Colony Optimization

2.5 Swarm Intelligence

2.6 DNA Computing

2.7 Quantum Information Processing Systems

2.8 Membrane Computing

2.9 Can There Be a Deus Ex Machina in Computing?

2.10 Major Contributions and Further Readings

Chapter 3: Managing Complexity of Large-Scale Cyber-Physical Systems

3.1 Cyber-Physical Systems

3.2 System Composability and the Role of Software

3.3 Managing Complexity

3.4 Challenges Specific to Large-Scale Systems

3.5 Autonomic Computing

3.6 Scalable System Organization

3.7 Complex Networks

3.8 Virtualization by Aggregation: Coalition Formation

3.9 Cooperative Games for Coalition Formation

3.10 Cyber-Physical Systems and Their Self-Organization Saga

3.11 Self-Organization of Sensor Networks

3.12 Further Readings on Large-Scale Systems and Self-Organization

Chapter 4: Computer Clouds

4.1 A Down-to-Earth View of Clouds

4.2 Cloud Delivery Models

4.3 How Clouds Changed Our Thinking About Computing

4.4 Hierarchical Organization: Warehouse-Scale Computers

4.5 Energy Consumption, Elasticity, and Over-provisioning

4.6 Cloud Resource Management Policies and Mechanisms

4.7 Cloud Resource Management Systems

4.8 Market Mechanisms for Cloud Resource Management

4.9 Cloud Federations and Server Coalitions

4.10 Auctions: Concepts, Rules, and Environments

4.11 Combinatorial Auctions: The Clock-Proxy Auction

4.12 Further Readings on Clouds and Cloud Resource Management

Chapter 5: Cloud Self-Organization and Big Data Applications

5.1 Big Data Applications in Science and Engineering

5.2 A Case Study: Tensor Network Contraction on AWS

5.2.1 Stage 1 TNC Algorithm

5.2.2 Stage 2 TNC Algorithm

5.2.3 Stage 3 TNC Algorithm

5.3 Server Coalitions, Combinatorial Auctions,and Big Data

5.4 History-Based Rack-Level Coalition Formation

5.5 A Combinatorial Auction Protocol

5.6 Evaluation of Cloud Policies and Mechanisms

5.7 Hierarchical Control Versus Market Mechanisms

5.8 History-Based Versus Just-in-Time Coalitions

5.9 Analysis and Evaluation of the Proxy Phase

5.10 Software Organization for a ReservationSystem

5.11 An Integrated Strategy for Cloud Software Development

5.12 Final Thoughts on Self-Organization and Self-Management

Bibliography

Index

Back Cover

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