Logo - springer
Slogan - springer

Computer Science - Information Systems and Applications | Guide to e-Science - Next Generation Scientific Research and Discovery

Guide to e-Science

Next Generation Scientific Research and Discovery

Yang, Xiaoyu, Wang, Lizhe, Jie, Wei (Eds.)

2011, XXVIII, 540 p.

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$169.00

(net) price for USA

ISBN 978-0-85729-439-5

digitally watermarked, no DRM

Included Format: PDF and EPUB

download immediately after purchase


learn more about Springer eBooks

add to marked items

Hardcover
Information

Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$219.00

(net) price for USA

ISBN 978-0-85729-438-8

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

Softcover
Information

Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$219.00

(net) price for USA

ISBN 978-1-4471-2658-4

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

  • Includes contributions from an international selection of preeminent e-science experts and practitioners
  • Examines how e-science techniques can be used to facilitate “open” research and resource sharing, data-intensive research, collaborative research, and scientific workflows
  • Describes applications of e-science, highlighting systems used in the fields of biometrics, clinical medicine, and ecology

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.

Content Level » Professional/practitioner

Keywords » Cloud Computing - Cyberinfrastructure - Distributed Computing - Grid Computing - High-performance Computing - Service-oriented Computing - e-Infrastructure - e-Research - e-Science

Related subjects » Information Systems and Applications

Table of contents 

Part I: Sharing and Open Research

Implementing a Grid / Cloud e-Science Infrastructure for Hydrological Sciences

The German Grid Initiative: Current State and Future Perspectives

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: The Seven Steps Towards Interoperability for e-Science

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: Task-Based Scientific Workflow Modelling and Performing

Part V: e-Science: Easy Science

Face Recognition using Global and Local Salient Features

OGSA-Based SOA for Collaborative Cancer Research: System Modelling and Generation

e-Science: The Way Leading to Modernization of Sciences and Technologies

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Information Systems and Communication Service.