Lustre stands for Linux Cluster. The name reflects its origins and its primary use case, which is to provide a high-performance, scalable file system for large-scale Linux cluster computing environments. The name combines “Linux” and “cluster” to emphasize its focus on distributed computing and its suitability for use with Linux-based systems.

Lustre is a type of parallel distributed file system, primarily used for large-scale cluster computing. It is designed for high-performance computing (HPC) environments and is often employed in supercomputers, large-scale data centers, and other environments requiring large-scale storage and high-speed data access.

Key features and aspects of Lustre include:

  1. Scalability: Lustre can handle large amounts of data and support thousands of clients, making it suitable for extensive computational tasks that require significant data throughput.
  2. High Performance: The architecture of Lustre allows for high-speed data access and transfer, which is crucial for applications that need rapid read/write capabilities, such as simulations, data analysis, and research computations.
  3. Parallel File System: Lustre’s design allows multiple operations to occur simultaneously, distributing the workload across many servers and storage devices to enhance performance.
  4. Open Source: Lustre is open-source software, which means it can be freely used, modified, and distributed, encouraging a large community of users and contributors who help in its continuous development and improvement.
  5. Fault Tolerance: Lustre includes features to ensure data integrity and availability, such as data replication and failover mechanisms, minimizing downtime and data loss.
  6. Use in HPC: It’s often found in environments like national laboratories, research institutions, and industries where significant computational power and data handling are required, such as climate modeling, bioinformatics, and financial simulations.

Lustre Architecture:

  • Object Storage Targets (OSTs): These are storage devices that hold file data.
  • Metadata Servers (MDSs): These servers manage metadata, such as file names, directories, permissions, and data layout.
  • Object Storage Servers (OSSs): These servers manage the OSTs and handle file I/O operations.
  • Client Nodes: Systems that access the Lustre file system to read and write data.

Amazon Web Services offers a managed Lustre file system called Amazon FSx for Lustre, which integrates with other AWS services, providing users with a scalable, high-performance file system for their HPC and big data workloads.