Browse by author
Lookup NU author(s): Professor Paul WatsonORCiD, Dr Hugo Hiden, Dr Simon Woodman
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Scientists face many severe challenges in extracting value from the increasingly large volumes of data they generate. In this paper we describe the requirements we have derived from working across a wide range of e-science projects. In particular, the CARMEN neuroinformatics project has exposed a range of challenges due to a need to analyse and share large volumes of data. We have identified the four key activities required by scientists with whom we work, and designed an integrated system-e-Science Central-to provide them. This exploits three emerging technologies: software as a service to avoid the need for users to deploy and maintain any of their own software; social networking to allow users to collaborate by sharing data, services and workflows in a controlled manner and Cloud computing to provide scalable compute resources. The system can not only be used through any web browser, but also provides an API so that applications can build on the core functionality. We describe the requirements, and the design that flows from them. This includes data storage with in-built versioning and signing, an in-browser workflow editor and a job scheduling system that allows workflows to be run both on local 'private' clouds and the Microsoft Azure Cloud. Copyright © 2010 John Wiley & Sons, Ltd.
Author(s): Watson P, Hiden H, Woodman S
Publication type: Article
Publication status: Published
Journal: Concurrency and Computation: Practice and Experience
Year: 2010
Volume: 22
Issue: 17
Pages: 2369-2380
Print publication date: 10/12/2010
ISSN (print): 1532-0626
ISSN (electronic): 1532-0634
Publisher: John Wiley & Sons Ltd.
URL: http://dx.doi.org/10.1002/cpe.1611
DOI: 10.1002/cpe.1611
Altmetrics provided by Altmetric
