Publication Date:
2013-03-21
Description:
With the continuous growth of data generated in various scientific andcommercial endeavors and the rising need for interdisciplinary studies andapplications in e-Science easy exchange of informationand computation resources capable of processing large amounts of datato allow ad-hoc co-operation becomes ever more important.Unfortunately different communities often use incompatibleresource management systems. In this work we try to alleviate the difficulties occurring on bridgingthe gap between different research eco-systems by federatingresources and thus unifying resource access.To this end, our solution presented in this paper outlines asecure, simple, yet highly interoperable and flexible architectureusing RESTful Web services and WebDAV. While, first and foremost in theGrid computing domain, there are already standards and solutions inplace addressing related problems, our solution differs from thoseapproaches by allowing to federate data storage systems that arenot aware of being federated. Access to these is enabled by ourfederation layer using storage system specific connectors.Hence, our federation approach is intended as an abstraction layer on topof existing storage or middleware solutions, allowing for a more uniform accessmechanism.Additionally, our solution also allows for submissionand management of computational jobs on said data,thereby federating not only data but also computational resources.Once resource access is unified, information from different data formatscan be semantically unified by information extraction methods.It is our belief that the work in this paper can complement existing Grid computing efforts by facilitatingaccess to data storage system not inherently available via commonlyused Grid computing standards.
Print ISSN:
1867-4828
Electronic ISSN:
1869-0238
Topics:
Computer Science
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