Guide to e-Science
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 aopena 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.On the one hand, there are models and definitions for the actual service level agreements. On the other hand, there ... The main output of the development of SLA models and definitions are term definitions and sample SLAs. Term definitionsanbsp;...
| Title | : | Guide to e-Science |
| Author | : | Xiaoyu Yang, Lizhe Wang, Wei Jie |
| Publisher | : | Springer Science & Business Media - 2011-05-26 |
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