BeeGFS The Leading Parallel Cluster File System
- What is BeeGFS
BeeGFS (formerly FhGFS) is the leading parallel cluster file system, developed with a strong focus on performance and designed for very easy installation and management. If I/O intensive workloads are your problem, BeeGFS is the solution. - Why use BeeGFS
BeeGFS transparently spreads user data across multiple servers. By increasing the number of servers and disks in the system, you can simply scale performance and capacity of the file system to the level that you need, seamlessly from small clusters up to enterprise-class systems with thousands of nodes. - Get The Most Out Of Your Data
The flexibility, robustness, and outstanding performance of BeeGFS help our customers around the globe to increase productivity by delivering results faster and by enabling new data analysis methods that were not possible without the advantages of BeeGFS.
Maximum Usability
The BeeGFS server components are userspace daemons,
while the client is a native kernel module that does not
require any patches to the kernel itself. All BeeGFS components
can be installed and updated without even rebooting the
machine.
For installation and updates there are rpm/deb package
repositories available; for the startup mechanism, easy-to-use
system service scripts are provided.
BeeGFS was designed with easy administration in mind. The
graphical administration and monitoring system enables
dealing with typical management tasks in a simple and intuitive
way, while everything is of course also available from a
command line interface:
Live load statistics, even for individual users
Cluster installation
Storage service management
Health monitoring
And more...
Excellent documentation helps to have the whole system up
and running in one hour.
BeeOND
BeeOND (BeeGFS on demand) allows on the fly creation of a complete parallel file system instance on a given set of hosts with just one single command.BeeOND was designed to integrate with cluster batch systems to create temporary parallel file system instances on a perjob basis on the internal SSDs of compute nodes, which are part of a compute job. Such BeeOND instances do not only provide a very fast and easy to use temporary buffer, but also can keep a lot of I/O load for temporary or random access files away from the global cluster storage.
