Cloud Computing Principles, Systems and Applications /
| Autor Corporativo: | |
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| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Edición: | 2nd ed. 2017. |
| Colección: | Computer Communications and Networks,
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| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-3-319-54645-2 |
Tabla de Contenidos:
- Part I: General Principles
- The Rise of Cloud Computing in the Era of Emerging Networked Society
- Mirror, Mirror on the Wall, How Do I Dimension My Cloud After All?
- A Taxonomy of Adaptive Resource Management Mechanisms in Virtual Machines: Recent Progress and Challenges
- Part II: Science Cloud
- Exploring Cloud Elasticity in Scientific Applications
- Clouds and Reproducibility: A Way to Go to Scientific Experiments?
- Big Data Analytics in Healthcare: A Cloud-Based Framework for Generating Insights
- Part III: Data Cloud
- Implementing MapReduce Applications in Dynamic Cloud Environments
- High Performance Graph Data Management and Mining in Cloud Environments with X10
- Part IV: Multi-Clouds
- Facilitating Cloud Federation Management via Data Interoperability
- Applying Self-* Principles in Heterogeneous Cloud Environments
- Part V: Performance and Efficiency
- Optimizing the Profit and QoS of Virtual Brokers in the Cloud
- Adaptive Resource Allocation for Load Balancing in Cloud
- Cloud-Supported Certification for Energy-Efficient Web Browsing and Services
- Datacentre Event Analysis for Knowledge Discovery in Large-Scale Cloud Environments.