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In this final reporting period we conclude the research and development with excellent results, and present the final business plans in the light of the identified opportunities and the individual/joint exploitation plans of the consortium partners.
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Dr Federico Michele Facca, CTO at Martel Innovate, is the project coordinator of the H-CLOUD Coordination and Support Action. He is a strong advocate of Open Source solutions (e.g. OpenStack, Apache Hadoop, Kubernetes, Docker,...) and his expertise covers Cloud Computing architectures and their application to different fields.
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The emergence of new technologies supporting the numerous software-defined applications and tools we use on a daily basis has put Cloud and HPC systems at the centre for their correct functioning and availability.
Infrastructure-as-Code (IaC) provides a model for provisioning and managing a computing environment using the explicit definition of the desired state of the environment in source code and applying software engineering principles, methodologies, and tools.
Thanks to DevOps, we now have a better way to provision and manage IT infrastructure. Instead of standard operating procedures and manual processes, we can do this by using source code.
Software application developers and users are now targeting a wide range of diverse computing platforms, such as on-premises supercomputers and clouds with heterogeneous node architectures.  Container technology has grown
Monitoring dashboards
A key feature in any computing platform is the ability for users to monitor their applications to check performance metrics, possible errors in the deployment, and refactoring/rescaling needs. It is also of great use to be able to create alerting rules to notify them and the refactoring
The Beta Testing Campaign Platform for Research Projects
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Nicolas Ferry is an Associate Professor at University Côte d'Azur. Prior he was a Senior Research Scientist at SINTEF. He holds a Ph.D. degree from the University of Nice.
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Read this post and learn how in SODALITE we assists users in the creation of complex application deployment models.
With the growing importance of DevOps roles in technological companies, bringing closer together development teams and operation teams, deployments are more frequent. As a result, possible security holes appear more often.
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In recent years, an increasing interest in evidence-based computer-aided approaches to address global challenges (GC) including climate modeling and prediction of migration flows arose.
Cloud computing is a megatrend that is a key enabler for data-driven innovation. It is expected to bring enormous benefits for citizens as stated in the recent EC Communication on Shaping Europe’s digital future.
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SODALITE aims to provide an optimized, highly resilient heterogeneous execution environment enabling operational transparency between Cloud and HPC infrastructures.
busses, such as PCI or USB
In the last article we introduced the use of devicetree-derived node labels for labelling static features of Edge Gateways but observed that this was not a complete labelling solution given its lack of support for the identification and labelling of devices attached to enumerable busses, such as PCI or USB
reading at the beach
Find your book to read in your holidays, find new inspiration and prepare yourself for going back to the routine when vacation is ended up. Enjoy!
virtual booth
The ISC-HPC is one of the most impactful European industrial events dedicated to HPC, connecting more than three thousand practitioners and users, and including about 160 exhibitors.
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The SODALITE blog is back again. We deliver monthly posts trying to convey the best of our updates and advances to our audience. This time, Karim Djemame (University of Leeds) visited us and left feedback on the relevant challenges within heterogeneity in complex systems.
Pain in the lower back and other symptoms are some of the most prevalent health problems experienced by the populations of developed nation.
Heterogeneous Edge Gateways
Within the SODALITE H2020 project, one of the areas we are focusing on is the deployment of optimized containers with accelerator-specific ML models for Edge-based inference across heterogeneous Edge Gateways in a Connected Vehicle Fleet.