Yang, X., Wallom, D., Waddington, S., Wang, J., Shaon, A., Matthews, B., Wilson, M. , Guo, Y., Guo, L., Blower, J. D., Athanasios, V. V., Liu, K. and Kershaw, P.
Cloud computing in e-science: research challenges and opportunities.
Journal of Supercomputing, 70 (1).
To link to this article DOI: 10.1007/s11227-014-1251-5
SOA (Service Oriented Architecture), workflow, the Semantic Web, and Grid computing are key enabling information technologies in the development of increasingly sophisticated e-Science infrastructures and application platforms. While the emergence of Cloud computing as a new computing paradigm has provided new directions and opportunities for e-Science infrastructure development, it also presents some challenges. Scientific research is increasingly finding that it is difficult to handle “big data” using traditional data processing techniques. Such challenges demonstrate the need for a comprehensive analysis on using the above mentioned informatics techniques to develop appropriate e-Science infrastructure and platforms in the context of Cloud computing. This survey paper describes recent research advances in applying informatics techniques to facilitate scientific research particularly from the Cloud computing perspective. Our particular contributions include identifying associated research challenges and opportunities, presenting lessons learned, and describing our future vision for applying Cloud computing to e-Science. We believe our research findings can help indicate the future trend of e-Science, and can inform funding and research directions in how to more appropriately employ computing technologies in scientific research. We point out the open research issues hoping to spark new development and innovation in the e-Science field.
|Divisions:||Henley Business School > Business Informatics, Systems and Accounting|
Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
|Uncontrolled Keywords:||e-Science, e-Research, Informatics, Cloud computing, Semantic Web, Grid computing, Workflow, Digital research, Big data |
|Date Deposited:||26 Jun 2014 08:30|
|Last Modified:||19 Jan 2017 03:28|
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