4 research outputs found

    a web based portal to access and manage wnodes virtualized cloud resources

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    The Worker Nodes on Demand Service (WNoDeS), developed by INFN, is a framework designed to offer local, grid or cloud-based access to computing and storage resources, preserving maximum compatibility with existing computing center policies and workflows. WNoDeS has been running in production at the INFN Tier-1 located at CNAF since November 2009, where it currently manages several thousands of dynamically created Virtual Machines; WNoDeS is also being deployed at several other Italian sites. This presentation shows the current state of the WNoDeS Web portal, aimed at end users for the instantiation of WNoDeS cloud resources and at site administrators for graphical management of the WNoDeS infrastructure. The portal is scheduled to be released in the next major version of WNoDeS (WNoDeS 2), expected by Fall 2011

    INDIGO-DataCloud: A data and computing platform to facilitate seamless access to e-infrastructures

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    This paper describes the achievements of the H2020 project INDIGO-DataCloud. The project has provided e-infrastructures with tools, applications and cloud framework enhancements to manage the demanding requirements of scientific communities, either locally or through enhanced interfaces. The middleware developed allows to federate hybrid resources, to easily write, port and run scientific applications to the cloud. In particular, we have extended existing PaaS (Platform as a Service) solutions, allowing public and private e-infrastructures, including those provided by EGI, EUDAT, and Helix Nebula, to integrate their existing services and make them available through AAI services compliant with GEANT interfederation policies, thus guaranteeing transparency and trust in the provisioning of such services. Our middleware facilitates the execution of applications using containers on Cloud and Grid based infrastructures, as well as on HPC clusters. Our developments are freely downloadable as open source components, and are already being integrated into many scientific applications
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