SIENA European Roadmap on Grid and Cloud Standards for e-Science and Beyond

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CloudScape III - Taking <strong>European</strong> Cloud Infrastructure Forward 22
Uses and perspectives from Science and Research BiGGrid HPC Cloud General overview and field of application With the newly developed BiGGrid High Performance Computing (HPC) Cloud environment, scientific researchers get access to their own Virtual Private HPC Cluster. It is a virtualized HPC Cluster that users can configure to exactly match their needs, without interfering with the needs of other users. It is flexible, offers self service and is dynamically scalable. Users can start from existing templates (images), or build their own cluster from scratch. It is even possible to make a copy from their current IT software environment (for example their laptop or desktop pc) and turn that into a HPC cluster in our Cloud. In that way, there will be very little difference between their development environment and their production environment. There is no need for an (expensive) rewrite of their software, and scientific challenges can be scaled up very easily from desktop scale to High Performance Compute cluster scale. CloudScape III - Taking <strong>European</strong> Cloud Infrastructure Forward The importance of interoperability For us the most important part of Cloud standards is that we offer infrastructure as a service, but we want to hide all the differences and little details of hardware behind an abstract interface or API. For example, it does not really matter which Cloud middleware we use and which OS runs on the hosts to deploy our VMs, we use OCCI as an interface between our GUI and OpenNebula. Also, we are finalizing an implementation of CDMI to have the same setup for storage. CDMI will hide the complexities for users of where data is located in a distributed cloud and which protocols they can use to access it. Also through CDMI users can deploy a storage volume and manage their data, including fine grained authorizations, without manual steps by our administrators. 23 Adoption of emerging or existing standards We are also starting to work on an API for network configurations. Our users will be able to manage many network settings by themselves, for example the creation of a VLAN between VMs, setting firewall rules and setting up secure connections to their virtual machines. Our goal is that we fully automate the management of virtual HPC clusters. All (skilled) end users can be completely self supporting and can access and configure their virtual private HPC cluster in the BiGGrid HPC Cloud through a secure and functionally complete API. When these standards for compute, storage and network are complete, it can also be used between Cloud clusters/providers to (automatically) negotiate migration of workloads. Security configurations are especially important for this use case.
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SIENA European Roadmap on Grid and Cloud Standards for e-Science and Beyond

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