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

ISBN-13: 9780857294388 / Angielski / Twarda / 2011 / 540 str.

Xiaoyu Yang; Lizhe Wang; Wei Jie

Opis

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.

Spis treści

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

Blurb

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.