IOStack - Software Defined Storage for Big Data

Project start: 
Thursday, 1 January, 2015
Project end: 
Monday, 31 December, 2018

IOStack will enable efficient execution of virtualized analytics applications over virtualized storage resources thanks to flexible, automated, and low cost data management models based on software-defined storage (SDS).

 

Who is the service/solution designed for?: 

Companies with large datasets of seldomly accessed data, system integrators.

How will your solution/service benefit the end-user? 

Optimization of data storage resources usage. 
The IOStack platform optimizes the usage of storage resources by automatically transferring datasets that are not used as much to a slower but cheaper infrastructure and thus ensuring the optimal usage of all available storage resources.

Our end-users are normally IaaS providers or companies operating big data storage and analytics resources. They will benefit mainly in simplicity, administration and cost reduction. Instead of operating dedicated clusters, they can virtualize and automate these services thanks to IOStack platform. The advantages of this include high return on investment, cost reduction, and automation.

The IOStack platform will provide a solution in the OpenStack platform to the automated management and deployment of virtualized storage and analytic services. Nowadays, the complexity of the tools imply that medium IaaS providers and companies must operate dedicated storage and computing platforms. Or then resort to the major American players in the industry like Amazon or Microsoft. Our solution will lower the barrier for Big Data storage and analytics to a variety of small and medium providers.

How can the solution/service help you become more efficient, more secure, faster or cost-effective?: 

The IOStack platform optimizes the usage of storage resources by automatically transferring datasets that are not used as much to a slower but cheaper infrastructure and thus ensuring the optimal usage of all available storage resources.