Guide to e-Science Next Generation Scientific Research and Discovery /

The way in which scientific research is carried out is undergoing a series of radical changes, worldwide, as a result of the digital revolution. However, this "Science 2.0" requires a comprehensive supporting cyber-infrastructure. This essential guidebook on e-science presents real-world e...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Yang, Xiaoyu (Editor ), Wang, Lizhe (Editor ), Jie, Wei (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Computer Communications and Networks,
Temas:
Computer networks .
Application software.
Computer Communication Networks.
Computer and Information Systems Applications.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Part I: Sharing and Open Research
  • Implementing a Grid / Cloud e-Science Infrastructure for Hydrological Sciences
  • The German Grid Initiative
  • Democratizing Resource-Intensive e-Science Through Peer-to-Peer Grid Computing
  • Peer4Peer: E-science Communities for Overlay Network and Grid Computing Research
  • Part II: Data-Intensive e-Science
  • A Multi-Disciplinary, Model-Driven, Distributed Science Data System Architecture
  • An Integrated Ontology Management and Data Sharing Framework for Large-Scale Cyberinfrastructure
  • Part III: Collaborative Research
  • An e-Science Cyberinfrastructure for Solar-enabled Water Production and Recycling
  • e-Science Infrastructure Interoperability Guide
  • Trustworthy Distributed Systems Through Integrity-Reporting
  • An Intrusion Diagnosis Perspective on Cloud Computing
  • Part IV: Research Automation, Reusability, Reproducibility and Repeatability
  • Conventional Workflow Technology for Scientific Simulation
  • Facilitating E-Science Discovery Using Scientific Workflows on the Grid
  • Concepts and Algorithms of Mapping Grid-Based Workflows to Resources Within an SLA Context
  • Orchestrating e-Science with the Workflow Paradigm
  • Part V: e-Science: Easy Science
  • Face Recognition using Global and Local Salient Features
  • OGSA-Based SOA for Collaborative Cancer Research
  • e-Science.

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