OpenIO collaborates with IOStack

We are now entering the 3rd year of the project. It is time to disseminate the outcomes of IOStack and let the European Big Data and storage ecosystem to benefit from them.

This is the case of a new collaborator with the IOStack project: OpenIO. OpenIO is a French company specialized in software-defined storage and scalability challenges. OpenIO converges an application grid to run computations on top of an object storage platform. But wait, there is even more. They adopt an open source model; this means that the code of OpenIO is available to the open source community!

As you can see, there are many points in common with our objectives in the project. But now that OpenIO is seriously approaching Big Data workloads, our collaboration on object storage technologies was unavoidable (e.g., Crystal, Stocator). For a great explanation on this story, we refer to the post of OpenIO's blog.

This can be the beginning of a beautiful partnership :)

IOStack exploitation: Use cases

We are happy to announce that the IOStack toolkit prototype is starting its path towards exploitation. We invite you to see the videos from our use-case companies to discover how IOStack is making their daily operation with analytics frameworks more simple and efficient.

 

GridPocket Use case: Smart Energy Grid

 

Idiada Use case: Automotive Company

 

Welcome to IOStack

IOStack is an European research project funded by the H2020 initiative. The project is a consortium of several European industrial and research partners including University of Rovira i Virgili, IBM, MPSTOR, Eurocom and the BARCELONA SUPERCOMPUTING CENTER. A number of the partners will act as users of the system including IDIADA (Automotive), GRIDPOCKET (IOT) and ARCTUR (HPC).

IOStack is designed for deployments of data analytics in virtual environments. Virtual environments allow very flexible deployment of analytics frameworks but have less performance than bare metal deployments. IOStack will focus on how Software Defined Storage can use its knowledge of the cloud topology and the real time dynamic characteristics of the cloud to deploy analytics jobs that will run and complete within guaranteed SLAs and timescales.

The SDS knowledge of the static topology allows compute and storage locality to be optimized, understanding the dynamic load of the cloud allows a further optimization of which resources, paths and devices should be used in a given workload.

 

Read more: Welcome to IOStack

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