In this video from the HPC User Forum, Henry Newman from Seagate Government Solutions leads a panel discussion on Metadata and Archiving at Scale. “Metadata is the key to keeping track of all this unstructured scientific data. It is “data about data.” It makes scientific data easy to find, track, share, move and manage – at low cost. Unfortunately, today’s high capacity storage systems only provide bare bones system consisting of as little as file name, owner and creation/access timestamps. Data intensive scientific workflows need supplemental enhanced metadata, along with access rights and security safeguards.”
Metadata Used in Science
Metadata is the key to keeping track of all this unstructured scientific data. It is “data about data.” In the case of scientific data, it is structured data (written in a prescribed schema or order) that describes what the data is, how it was derived, and where it is located.
Video: Scalability Testing of DNE2 in Lustre 2.7
May 4, 2015 by Leave a Comment
In this video from LUG 2015 in Denver, Steve Simms from Indiana University presents: Scalability Testing of DNE2 in Lustre 2.7.
Lustre Metadata Performance and Solutions from Seagate
February 12, 2015 by Leave a Comment
“Alongside the increasingly high demands of streaming bandwidth in HPC storage solutions, there is a growing need for higher levels of metadata performance for various applications and workloads. The Lustre parallel file system provides a distributed namespace, divided across multiple metadata servers, that allows the metadata throughput to scale with increasing servers. This presentation addresses meeting the increasing requirements for high performance metadata in Lustre environments with the ultimate aim of reducing the time to results and improving overall efficiency.”
How Nirvana Software Provides Sophisticated Metadata Management
December 17, 2014 by Leave a Comment
“By presenting a single global namespace across any storage device, anywhere in the world, Nirvana allows data to be easily and securely shared among globally distributed teams. Nirvana also automatically moves data to various workflow resources, based on policies so data is always available at the right place, at the right time, and at the right cost ― while keeping an audit trail as data is ingested, transformed, accessed, and archived through its complete lifecycle.”
