Istituto Mario Negri in Milan, Italy, Selects Rozo Systems
To meet requirements of genomic research
This is a Press Release edited by StorageNewsletter.com on May 24, 2017 at 2:50 pmRozo Systems SAS, a provider of software-defined scale-out NAS storage solutions, announced that the IRCCS Istituto di Ricerche Farmacologiche Mario Negri based in Milan, Italy, is using its RozoFS for storage and analysis of next-generation sequencing data (NGS).
NGS data requires performing storage, resilient to hardware failure and directly connected to the computing infrastructure.
The Istituto Mario Negri validated that RozoFS, a software-defined scale-out file system, delivers the performance, data integrity and scalability required by the heavy workloads of modern sequencers.
“Our benchmarks of RozoFS showed great performance, eliminating the severe performance loss suffered by traditional file systems in key applications,” said Luca Beltrame, senior scientist, the Institute Mario Negri. “Running traditional NFS file systems on a high-performance cluster spanning 20 nodes under high I/O load produced repeated timeouts and stale file handles that prevented the analysis from completing. RozoFS does not suffer from this problem, making it a great fit for next-generation sequencing workloads.“
RozoFS is a file system for distributed storage, offering both performance and HA of the data.
A patented erasure coding technology, the Mojette Transform, works fast on small files and on sequential workloads. The erasure-coded data is protected against the failure of a storage node and the failure of multiple disks on the same node. This technology is used to divide data into chunks and distribute them to the storage devices that are part of the storage pool. This guarantees data integrity and accessibility even when some servers or storage devices are unavailable.
“The results obtained by the Institute Mario Negri are a great testimonial that RozoFS meets the requirements of NGS data analysis workloads,” said Pierre Evenou, CEO, Rozo. “Next-generation sequencing storage requires high performance, reliability and scalability within strict budget limits; we deliver this combination.“
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