Lustre: Stronger-than-Ever

September 25, 2017

Clearly, Lustre* will continue to dominate the persistent parallel file system arena, at least for a few years. The development of such complex technology doesn’t flow as quickly as for many other applications, and even though parallel file systems may soon be replaced, a gap would still exist until that technology would be available. DDN® announced in November 2016 that all its Lustre features would be merged into the Lustre master branch to allow the entire community to have more transparent access to the code, reducing the overhead of code development management and better aligning with the latest advancements. Although numerous contributors and collaborators have asked why DDN would choose to share these patches rather than leverage them as a competitive advantage and differentiator, DDN is committed to delivering these features as a foundation framework coded into the Lustre file system. These features will then support DDN’s broader development which is now looking into areas such as security, performance, RAS, and data management.

Along with the recently announced features, DDN proposes a new, novel approach for Lustre’s policy engine (LiPE) that aims to reduce installation and deployment complexity while delivering significantly faster results. LiPE relies on a set of components that allows the engine to scan Lustre MDTs quickly, create an in-memory mapping of the file system’s objects, and implement data management policies based on that mapped information. This approach initially allows users to define policies that trigger data automation via Lustre HSM hooks or external data management mechanisms. In the next stage of development, LiPE may be integrated with a File Heat Map mechanism for more automated and transparent data management, resulting in a better utilization of parallel storage infrastructure. (File Heat Map is another feature under development that will create a file mapping that weights the state object according to its utilization. For example, over time, the weight un-modified files will decay, indicating the likelihood of such a file being a WORM-style file suitable for moving into a different disk tier.)

Regarding performance, DDN has designed and developed a new Quality of Service (QoS) approach. QoS based on the Token Bucket Filter algorithm has been implemented on the OST level that allows system administrators to define the maximum number of RPCs to be issued by a user/group or job ID to a given OST. Throttling performance provides I/O control and bandwidth reservation; for example, by guaranteeing jobs with higher priority run in a more predictable time, performance variations due to I/O delays can be avoided. A new initiative between DDN and few renowned European universities will investigate the implementation of a high-level tool, possibly at the user level, that would allow an easier utilization and configuration of QoS with a set of new usability enhancements.

Other interesting features from DDN that will be available on Lustre 2.10 and its minor releases during the LTS cycle include the Project Quotas facility, single-thread performance enhancements, and secured Lustre (MLS and isolation), among others. In keeping with new HPC trends, a tremendous amount of work has also been invested into the integration of Lustre with Linux container-based workloads, providing native Lustre file system capabilities within containers, support for new kernel and specialized Artificial Intelligence and Machine Learning appliances. Customers who are moving toward software-defined storage may be surprised to learn that, as part of its strategy regarding parallel file systems, DDN has also recently announced that it will support ZFS and Lustre as software-only.

For more information about DDN’s Lustre offerings, visit the EXAScaler® product page.

Note: Other names and brands may be claimed as the property of others.

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