Librería Portfolio

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.

Key Features
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
Readership
Computer Science graduate students and researchers in networking, cloud computing, computer architecture, distributed computing, grid computing, and self-organizing systems



Table of Contents
Dedication
Preface
Chapter 1: Complex Systems
Abstract
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
Abstract
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
Abstract
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
Abstract
4.1 A Down