Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

DBcloud: Semantic Dataset for the cloud

: Morsey, M.; Willner, A.; Loughnane, R.; Giatili, M.; Papagianni, C.; Baldin, I.; Grosso, P.; Al-Hazmi, Y.


35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016 : San Francisco, California, USA 10-14 April 2016
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-4673-9955-5 (electronic)
ISBN: 978-1-4673-9956-2 (print)
Conference on Computer Communications (INFOCOM) <35, 2016, San Francisco/Calif.>
Conference Paper
Fraunhofer FOKUS ()

In cloud environments, the process of matching requests from users with the available computing resources is a challenging task. This is even more complex in federated environments, where multiple providers cooperate to offer enhanced services, suitable for distributed applications. In order to resolve these issues, a powerful modeling methodology can be adopted to facilitate expressing both the request and the available computing resources. This, in turn, leads to an effective matching between the request and the provisioned resources. For this purpose, the Open-Multinet ontologies were developed, which leverage the expressive power of Semantic Web technologies to describe infrastructure components and services. These ontologies have been adopted in a number of federated testbeds. In this article, DBcloud is presented, a system that provides access to Open-Multinet open data via endpoints. DBcloud can be used to simplify the process of discovery and provisioning of cloud resources and services.