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    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.

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    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 Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centre: Birkbeck Knowledge Lab
    Depositing User: Stelios Sotiriadis
    Date Deposited: 09 May 2018 17:26
    Last Modified: 28 Jul 2019 07:04
    URI: http://eprints.bbk.ac.uk/id/eprint/21810

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