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Guide to e-Science 2011
- Xiaoyu Yang, Lizhe Wang, Wei Jie:
Guide to e-Science, Next Generation Scientific Research and Discovery. Computer Communications and Networks, Springer 2011, ISBN 978-0-85729-438-8
Sharing and Open Research
- Gen-Tao Chiang, Martin T. Dove, C. Isabella Bovolo
, John Ewen:
Implementing a Grid/Cloud eScience Infrastructure for Hydrological Sciences. 3-28 - Stefan Freitag, Philipp Wieder:
The German Grid Initiative D-Grid: Current State and Future Perspectives. 29-52 - Francisco V. Brasileiro, Nazareno Andrade, Raquel Lopes, Lívia M. R. Sampaio:
Democratizing Resource-Intensive e-Science Through Peer-to-Peer Grid Computing. 53-80 - Luís Veiga, João Nuno de Oliveira e Silva, João Coelho Garcia:
Peer4Peer: e-Science Community for Network Overlay and Grid Computing Research. 81-113
Data-intensive e-Science
- Daniel J. Crichton, Chris A. Mattmann, John S. Hughes, Sean C. Kelly, Andrew F. Hart:
A Multidisciplinary, Model-Driven, Distributed Science Data System Architecture. 117-143 - Enis Afgan, Jeremy Goecks, Dannon Baker, Nate Coraor, Anton Nekrutenko, James Taylor
Galaxy: A Gateway to Tools in e-Science. 145-177 - Mudasser Iqbal, Wenqiang Wang, Cheng Fu, Hock Beng Lim:
An Integrated Ontology Management and Data Sharing Framework for Large-Scale Cyberinfrastructure. 179-206
Collaborative Research
- Yuxia Yao, Hock Beng Lim, Chee Keong Chan, Fook Hoong Choo:
An e-Science Cyberinfrastructure for Solar-Enabled Water Production and Recycling. 209-231 - Morris Riedel
e-Science Infrastructure Interoperability Guide: The Seven Steps Toward Interoperability for e-Science. 233-264 - Jun Ho Huh, Andrew P. Martin:
Trustworthy Distributed Systems Through Integrity-Reporting. 265-297 - Junaid Arshad, Paul Townend, Jie Xu:
An Intrusion Diagnosis Perspective on Cloud Computing. 299-319 - Katharina Görlach, Mirko Sonntag, Dimka Karastoyanova, Frank Leymann, Michael Reiter:
Conventional Workflow Technology for Scientific Simulation. 323-352 - Jianwu Wang, Prakashan Korambath, Seonah Kim, Scott A. Johnson
Facilitating e-Science Discovery Using Scientific Workflows on the Grid. 353-382 - Dang Minh Quan, Odej Kao, Jörn Altmann:
Concepts and Algorithms of Mapping Grid-Based Workflow to Resources Within an SLA Context. 383-416 - Xiping Liu, Wanchun Dou, Jinjun Chen:
Orchestrating e-Science with the Workflow Paradigm: Task-Based Scientific Workflow Modeling and Executing. 417-450
e-Science: easy Science
- Dakshina Ranjan Kisku, Phalguni Gupta, Jamuna Kanta Sing, Massimo Tistarelli:
Face Recognition Using Global and Local Salient Features. 453-477 - Tianyi Zang, Radu Calinescu, Marta Kwiatkowska:
OGSA-Based SOA for Collaborative Cancer Research: System Modeling and Generation. 479-505 - Baoping Yan, Wenzhuang Gui, Ze Luo, Gang Qin, Jian Li, Kai Nan, Zhonghua Lu
e-Science, the Way Leading to Modernization of Sciences and Technologies: e-Science Practice and Thought in Chinese Academy of Sciences. 507-532
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