Guide to E-science: Next Generation Scientific Research and Discovery

Yang, Xiaoyu (Editor)/ Wang, Lizhe (Editor)/ Jie, Wei (Editor)

ISBN 10: 0857294385 / ISBN 13: 9780857294388

Editore: Springer-Verlag New York Inc, 2011

Riguardo questo articolo

2011 edition. 565 pages. 9.00x6.00x1.50 inches. In Stock.

Codice articolo x-0857294385

Dati bibliografici

• Titolo: Guide to E-science: Next Generation Scientific Research and Discovery
• Editore: Springer-Verlag New York Inc
• Data di pubblicazione: 2011
• Lingua: Inglese
• ISBN 10: 0857294385
• ISBN 13: 9780857294388
• Rilegatura: Hardcover
• Condizione: Brand New

Descrizione articolo

Riassunto

This guidebook on e-science presents real-world examples of practices and applications, demonstrating how a range of computational technologies and tools can be employed to build essential infrastructures supporting next-generation scientific research. Each chapter provides introductory material on core concepts and principles, as well as descriptions and discussions of relevant e-science methodologies, architectures, tools, systems, services and frameworks. Features: includes contributions from an international selection of preeminent e-science experts and practitioners; discusses use of mainstream grid computing and peer-to-peer grid technology for open research and resource sharing in scientific research; presents varied methods for data management in data-intensive research; investigates issues of e-infrastructure interoperability, security, trust and privacy for collaborative research; examines workflow technology for the automation of scientific processes; describes applications of e-science.

Dalla quarta di copertina

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 examples of practices and applications, demonstrating how a range of computational technologies and tools can be employed to build essential infrastructures supporting next-generation scientific research. Each chapter provides introductory material on core concepts and principles, as well as descriptions and discussions of relevant e-science methodologies, architectures, tools, systems, services and frameworks. The guide s explanations and context present a broad spectrum of different e-science system requirements.

Topics and features:

• Includes contributions from an international selection of preeminent e-science experts and practitioners
• Discusses use of mainstream grid computing and peer-to-peer grid technology for open research and resource sharing in scientific research
• Presents varied methods for data management in data-intensive research
• Investigates issues of e-infrastructure interoperability, security, trust and privacy for collaborative research
• Examines workflow technology for the automation of scientific processes, and that ensures the research can be reusable, reproducible and repeatable
• Describes applications of e-science, highlighting systems used in the fields of biometrics, clinical medicine, and ecology

This highly practical text/reference is a must-have, must-use resource for both IT professionals and academic researchers. Graduate students will also benefit from the experiences and viewpoints shared by the authors on this important subject, as well as the instructional nature of this guidebook.

Dr. Xiaoyu Yang is a research engineer in the School of Electronics and Computer Science at the University of Southampton, UK. Dr. Lizhe Wang is a research scientist in the Pervasive Technology Institute at Indiana University, Bloomington, IN, USA. Dr. Wei Jie is a lecturer in the School of Computing at Thames Valley University, London, UK.