An inter-cloud architecture for future internet infrastructures
Sotiriadis, Stelios and Bessis, N. and Petrakis, E.G.M. (2014) An inter-cloud architecture for future internet infrastructures. In: Pop, F. and Potop-Butucaru, M. (eds.) Adaptive Resource Management and Scheduling for Cloud Computing. Lecture Notes in Computer Science 8907. Cham: Springer International Publishing, pp. 206-216. ISBN 9783319134642.
|
Text
ARMS-CC.pdf - Author's Accepted Manuscript Download (669kB) | Preview |
Abstract
In latest years, the concept of interconnecting clouds to allow common service coordination has gained significant attention mainly because of the increasing utilization of cloud resources from Internet users. An efficient common management between different clouds is essential benefit, like boundless elasticity and scalability. Yet, issues related with different standards led to interoperability problems. For this reason, the definition of the open cloud-computing interface defines a set of open community-lead specifications along with a flexible API to build cloud systems. Today, there are cloud systems like OpenStack, OpenNebula, Amazon Web Services and VMWare VCloud that expose APIs for inter-cloud communication. In this work we aim to explore an inter-cloud model by creating a new cloud platform service to act as a mediator among OpenStack, FI-WARE datacenter resource management and Amazon Web Service cloud architectures, therefore to orchestrate communication of various cloud environments. The model is based on the FI-WARE and will be offered as a reusable enabler with an open specification to allow interoperable service coordination.
Metadata
Item Type: | Book Section |
---|---|
Additional Information: | First International Workshop, ARMS-CC 2014, held in Conjunction with ACM Symposium on Principles of Distributed Computing, PODC 2014, Paris, France, July 15, 2014, Revised Selected Papers. The final publication is available at Springer via the link above. |
School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
Research Centres and Institutes: | Birkbeck Knowledge Lab |
Depositing User: | Stelios Sotiriadis |
Date Deposited: | 09 May 2018 17:26 |
Last Modified: | 09 Aug 2023 12:43 |
URI: | https://eprints.bbk.ac.uk/id/eprint/21810 |
Statistics
Additional statistics are available via IRStats2.