http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
a self-organization and self-managenent perspective
Complex Systems and 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.
Machine generated contents note: ch. 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 -- ch. 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.
Note continued: ch. 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 -- ch. 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.
Note continued: 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 -- ch. 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 -- 5.3. 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 Reservation System -- 5.11. An Integrated Strategy for Cloud Software Development.
Includes bibliographical references and index.