Cargando…

Complex systems and clouds : a self-organization and self-managenent perspective /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Marinescu, Dan C.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, Mass. : Morgan Kaufmann, 2017.
Colección:Computer science reviews and trends.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.