Objective
Cloud federation enables cloud providers to collaborate and share their resources to create a large virtual pool of resources at multiple network locations. Different types of federation architectures for clouds and datacenters have been proposed and implemented (e.g. cloud bursting, cloud brokering or cloud aggregation) with different level of resource coupling and interoperation among the cloud resources, from loosely coupled, typically involving different administrative and legal domains, to tightly coupled federation, usually spanning multiple datacenters within an organization. In both situations, an effective, agile and secure federation of cloud networking resources is key to impact the deployment of federated applications.
The main goal of this project is two-fold: research and develop techniques to federate cloud network resources, and to derive the integrated management cloud layer that enables an efficient and secure deployment of federated cloud applications. Our proposal will deliver a homogeneous virtualization layer, on top of heterogeneous underlying physical networks, computing and storage infrastructures, providing enablement for automated federation of applications across different clouds and datacenters.
The project is fully committed to open source software. Cloud networking aspects will be based on OpenDaylight, a collaborative project under The Linux Foundation, and specifically we will leverage and extend the OpenDOVE project with new rich inter-cloud APIs to provision cross-site virtual networks overlays.
The new inter-cloud network capabilities will be leveraged by existing open source cloud platforms, OpenNebula and OpenStack, to deploy multi-cloud applications. In particular, different aspects of the platforms will be extended to accommodate the federated cloud networking features like multi-tenancy, federated orchestration of networking, compute and storage management or the placement and elasticity of the multi-cloud applications.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencessoftware
- social scienceseconomics and businessbusiness and managementbusiness models
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Programme(s)
Call for proposal
(opens in new window) H2020-ICT-2014
See other projects for this callSub call
H2020-ICT-2014-1
Funding Scheme
RIA - Research and Innovation actionCoordinator
6041 Charleroi
Belgium
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.