INDIGO-DataCloud delivers open source software services to help developers, resource providers, e-infrastructures and scientific communities to overcome current challenges in the Cloud computing, storage and network areas. The first internal demo release of the INDIGO-DataCloud platform was presented on 4th and 5th April in Amsterdam, the Netherlands.
In Cloud computing, both the public and private sectors are offering Cloud resources as IaaS (Infrastructure as a Service). However, there are numerous areas of interest to scientific communities where Cloud computing uptake is currently lacking, especially at the PaaS (Platform as a Service) and SaaS (Software as a Service) levels. INDIGO-DataCloud (INtegrating Distributed data Infrastructures for Global ExplOitation), aims at developing a data and computing platform targeting scientific communities, deployable on multiple hardware and provisioned over hybrid (private or public) e-infrastructures.
“The size of the problem and the amount of computations needed are however main challenges that can only be addressed with proper e-Science solutions.” - Dr. Alexandre M.J.J. Bonvin, Professor of Computational Structural Biology at Utrecht University, Faculty of Science, Bijvoet Center for Biomolecular Research.
Several components at the disposal of different scientific communities.
INDIGO-DataCloud delivers open source software components tailored to scientific communities and to e-infrastructures, aimed to increase ease of use and effectiveness in the exploitation of Cloud resources by them. INDIGO ready-to-use components can be grouped as:
· User-oriented access services (User Interfaces, Mobile Applications, Scientific Portals)
· Optimized exploitation of resources across multiple Cloud infrastructures
· Seamless and integrated access to geographically distributed data
· Improved functionalities in the popular Cloud frameworks OpenNebula and OpenStack
In addition, the INDIGO Future Gateway (FG) offers a set of easy to use RESTful APIs to allow portals, mobile appliances and desktop applications to seamlessly exploit different kinds of e-Infrastructures (Grids, Clouds and HPC clusters).
@work. INDIGO Champions met the Developers
In order to test its technologies, several “Champions” have been identified from each research community participating to the project, to lead different use cases. INDIGO Champions have been at work since January 2016 to provide requirements and tests for the INDIGO technology and to contribute to the release of the INDIGO-DataCloud platform. On 4th and 5th April INDIGO champions and developers met in Amsterdam to discuss implementation details and strategies for INDIGO use cases. The first prototype of the INDIGO architecture was presented for internal evaluation and testing to the communities involved, which are now called to test the list of services and provide feedback to the community of developers.
INDIGO-DataCloud offerings to final usersINDIGO-DataCloud helps developers, resource providers, e-infrastructures and scientific communities to overcome current challenges in the Cloud computing, storage and network areas. INDIGO allows researchers coming from different scientific communities to access data and use resources as in a “big pool” of computing and storage, without the need to know their type or location or writing specialized software. INDIGO components are essential for resource providers, resource centers and cloud infrastructures managers (such as ESFRI projects) for optimal exploitation of distributed resources. Last but not least, the INDIGO services are being developed according to the requirements collected within many multidisciplinary scientific communities, such as ELIXIR, WeNMR, INSTRUCT, EGI-FedCloud, DARIAH, INAF-LBT, CMCC-ENES, INAF-CTA, LifeWatch-Algae–Bloom, EMSO–MOIST. In this way scientific communities are empowered to build complex tools which, at the same time, can be easily reused by other user communities responding to the same requirements.
A sample of INDIGO Use cases. INDIGO teams are working on a Molecular Dynamics use case. The 3D structure of any molecule is not completely rigid, but fluctuates over time due to the kinetic energy available at room temperature. Computer simulation (Molecular Dynamics, MD) is the only technique that provides a full atomistic view of motions throughout all regions of the macromolecule. This use case exploits the INDIGO Future Gateway to perform Molecular Dynamics simulations in Virtual Machines, using web interfaces to set up and analyze these simulations.
Another field of application tackeld by INDIGO is the climate model intercomparison data analysis. This case study is directly connected to the Coupled Model Intercomparison Project (CMIP), one of the most internationally relevant and large climate experiments worldwide, as well as to the Earth System Grid Federation (ESGF) infrastructure in terms of existing eco-system and services. The test case demonstrates the INDIGO capabilities in terms of software framework deployed on heterogeneous infrastructures (e.g., HPC clusters and cloud environments), as well as workflow support to run distributed, parallel data analyses.
Save the date. The path towards INDIGO-DataCloud Release
INDIGO – DataCloud is a project funded under the Horizon2020 framework program of the European Union. It receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement RIA 653549.Indigo support: firstname.lastname@example.org
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