Guide to e-Science (eBook)
XXVIII, 540 Seiten
Springer London (Verlag)
978-0-85729-439-5 (ISBN)
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 "e;Science 2.0"e; 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 "e;open"e; 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 "e;must-have, must-use"e; 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.
Part I: Sharing and Open ResearchImplementing a Grid / Cloud e-Science Infrastructure for Hydrological SciencesThe German Grid Initiative: Current State and Future PerspectivesDemocratizing Resource-Intensive e-Science Through Peer-to-Peer Grid ComputingPeer4Peer: E-science Communities for Overlay Network and Grid Computing ResearchPart II: Data-Intensive e-ScienceA Multi-Disciplinary, Model-Driven, Distributed Science Data System ArchitectureAn Integrated Ontology Management and Data Sharing Framework for Large-Scale CyberinfrastructurePart III: Collaborative ResearchAn e-Science Cyberinfrastructure for Solar-enabled Water Production and Recyclinge-Science Infrastructure Interoperability Guide: The Seven Steps Towards Interoperability for e-ScienceTrustworthy Distributed Systems Through Integrity-ReportingAn Intrusion Diagnosis Perspective on Cloud ComputingPart IV: Research Automation, Reusability, Reproducibility and RepeatabilityConventional Workflow Technology for Scientific SimulationFacilitating E-Science Discovery Using Scientific Workflows on the GridConcepts and Algorithms of Mapping Grid-Based Workflows to Resources Within an SLA ContextOrchestrating e-Science with the Workflow Paradigm: Task-Based Scientific Workflow Modelling and PerformingPart V: e-Science: Easy ScienceFace Recognition using Global and Local Salient FeaturesOGSA-Based SOA for Collaborative Cancer Research: System Modelling and Generatione-Science: The Way Leading to Modernization of Sciences and Technologies
Erscheint lt. Verlag | 26.5.2011 |
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Reihe/Serie | Computer Communications and Networks |
Zusatzinfo | XXVIII, 540 p. |
Verlagsort | London |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
Mathematik / Informatik ► Informatik ► Theorie / Studium | |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | Cloud Computing • cyberinfrastructure • Distributed Computing • e-Infrastructure • e-Research • E-Science • grid computing • High-Performance Computing • service-oriented computing |
ISBN-10 | 0-85729-439-3 / 0857294393 |
ISBN-13 | 978-0-85729-439-5 / 9780857294395 |
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