ACCELERATE data movement workflowS IN RESEARCH INDUSTRY

Today's Top Challenges

Supercomputing systems are so performant and scalable that the data generation speed has never been so fast. Research centers have to store the generated contents in "Data repositories" both are located close to each others and they are well integrated.

Two different categories of data repositories are used as storage tiers :

1. Active data repositories which provide the performance when data are written by supercomputing systems.

2. Archival data repositories which the capacity required to store all of these data.

The supercomputing infrastructure are base on scalable technologies. It is why data repositories capacity are exploding in term of contents and usage.

The Ideal Solution

These facilities need to use an automatic data mover engine which will manage these two different type of data repositories. And provides the following features to users :

1. Manage the active storage

2. Organize the movement of the data from the active storage to the archive storage

3. Keep a direct access by the users.  

Furthermore, 

1. The solution have to manage every type of storage (NAS, Object Storage and Tape)

2. Provide a public API and SDK to facilitate the integration with the specific research application and reduce the IT infrastructure latency to access their files/data.

Top Use Cases for Research Center End-Users

• Data accessibility for files stored in active and in archive storage

• Automated data mover

• Included data protection mechanism

• End-user Self-Service portal

• Scalable central catalog of data and metadata

• Automation with API

   

Top Use Cases for Research Center

• Workflow management system manage with API or by Apps 

• Workflow to automate the sharing of files 

SEE NODEUM IN ACTION

This platform provides the following features and capabilities :

• Data movement between any data repositories.

• Provide access for any users to the archived data.

• Automate the data protection of each data repositories

• Manage the storage of all files across all systems and bring transparent data movement workflows for any users.

• Allow data protection of any type of storage systems and keep a direct control of the protected files.

It is the solution when your data volume and capacity is exploding, it unifies the capacity management. The indexed central catalog provides any needed information of the files managed by the ecosystem :

1. Status : protected, archive, online, ...

2. Attribute : name, creation data, modification date, size, ....

3. Lifecycle in regards to its data mobility, and then the localization.

4. Custom Metadata

The API offers integrations of the data management into your research process.

And with the logs and report for each jobs, control the good process of each batch to secure your data.

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