Parallel File System OrangeFS Starts to Build a Following

By Nicole Hemsoth

November 18, 2011

If you thought Lustre and GPFS were your only two choices for a high performance, scalable parallel file system, then you’ve probably never heard of OrangeFS. Described as a branch of the open source Parallel Virtual File System (PVFS), OrangeFS has been taken under the wing of Omnibond LLC, which is now providing commercial support for the software.

At SC11, there was a BoF session that discussed recent developments in OrangeFS and its future direction. We caught up with two of the session leaders, Walt Ligon, founding PVFS/OrangeFS Architect and Associate Professor of Electrical and Computer Engineering, and Boyd Wilson executive director at Omnibond, as well as Jim Bottum, CIO and vice provost for Computing & Information Technology at Clemson University, to talk about the file system’s unique attributes and some of its real-world use cases.

HPCwire: What is OrangeFS and what problem is it trying to solve that is not being addressed by other parallel file systems like Lustre and GPFS?

Walt Ligon: OrangeFS is a next-generation parallel file system based on PVFS for compute and storage clusters of the future. Its original charter — to complement high-performance computing for cutting-edge research in academic and government initiatives — is fast expanding into a versatile array of real-world applications.

The big benefit of OrangeFS over many similar parallel file systems comes down to two issues. First, it is one of the best performing parallel file systems available. It is based on the PVFS architecture, which is powerful and modular. This has allowed the design to evolve to incorporate distributed directories, optimized requests, a wide variety of interfaces and features. It is well designed.

Second, it is an extremely easy file system to build, install, get and keep running. This is hard to quantify, so we encourage anyone to download the tarball and try it. As another point of reference, PVFS has been used in dozens of educational, experimental, and research settings and formed the basis of many graduate theses. It is a very usable file system.

PVFS went through two generations as an experimental-turned-production file system. OrangeFS has been hardened through several years of development, testing, and support by a professional development team. Now it is being deployed for a range of applications with commercial support, though it is still open source.

A detailed list of features that are unique to OrangeFS is:

  • Unique object-based file data transfer, allowing clients to work on objects without the need to handle underlying storage details, such as data blocks
  • Unified data/metadata servers
  • Distribution of metadata across storage servers
  • Distribution of directory entries
  • Diverse Client Access Methods: Posix, MPI, Linux VFS, FUSE, Windows, WebDAV, S3, and REST interfaces.
  • Ability to configure storage parameters by directory or file, including stripe size, number of servers, replication, security
  • Virtualized storage over any Linux file system as underlying local storage on each connected server

HPCwire: What is the precise relationship between PVFS and OrangeFS?

Ligon: OrangeFS is the next evolution of PVFS, adding commercial grade services in addition to new features and future development. For many years PVFS development focused primarily on a few large scientific workloads. At the same time members of the community used PVFS as a research tool to experiment with different aspects of parallel file system design and implementation. OrangeFS is broadening that scope to include production quality service for a wider range of data intensive application areas. This has led to re-evaluating a number of assumptions that were valid for PVFS but may, or may not, be appropriate for these other workloads. Thus a new generation of development is under way to address these new scenarios.

Boyd Wilson: PVFS was supported by a small group of exceptional developers that were closely associated with the scientific applications that it was intended for. OrangeFS, in contrast is looking to attract a wide range of users, thus Omnibond has stepped up to provide commercial grade support and development practices. Just the same, OrangeFS is still 100% open-source, there are no commercial versions of the code, we intend to support the PVFS community as we always have. We continue to support the PVFS mailing lists and interact with people using OrangeFS as a development platform. The benefit to those customers who do pay for support is priority access to a professional support staff with experience and resources for supporting the software as well as access to the developers in order to guide improvements and new features. Omnibond sees this latter point as a major opportunity to partner with its customers in developing vertical product lines using OrangeFS as a base. No other parallel file system is offered with this philosophy.

HPCwire: How does OrangeFS differ from other parallel file systems? What do you see as its main advantages?

Wilson: OrangeFS was designed with a unified server that supports both distributed metadata and distributed file data. The PVFS architecture is modular, making it easy to develop and support new networks and new storage devices, to implement new requests to optimize specific operations, and to add new features. OrangeFS is 100 percent open source, it was developed by a diverse community of government, academic, and industry. There are no commercial or “pro” versions, every new development is returned to the community. The community is still encouraged to participate in the development.

Configurable features at the system, directory and file levels including striping parameters, distribution methods, replication support, security, etc. The PVFS protocol provides a rich set of operations that support distributed operations and is easily extendable. OrangeFS provides diverse client access methods including MPI-IO, Posix-like methods, Linux VFS, FUSE and Windows support, coming soon will be WebDAV, S3, REST.

OrangeFS supports standard out-of-the-box Linux kernels. Server and client code are implemented at the user level. The Linux kernel module used for VFS support is very simple and does not require kernel patches. OrangeFS is very easy to build, install, and begin operating, and very easy to keep operating.

HPCwire: What types of users would be most interested in the technology? Are there use cases out there in the wild?

Jim Bottum: HPC users on all size parallel systems can make use of OrangeFS. PVFS was initially rolled out to the very high-end computing community and generally very large I/O. Clemson University adopted PVFS, which was initially developed by Clemson faculty and students, as it was beginning to roll out HPC campus wide in 2007.

As the Clemson staff tuned PVFS for its user community both on campus and around the state, it was tuned work equally as well on smaller I/O workloads. Users with rendering and video server farms, would be ideal, as would financial and other data analytics firms. We have been working with users in the oil and gas industry and a broad range of science and engineering.

We have a large corporate client that uses OrangeFS extensively for data mining. They have over 700 distinct OrangeFS file systems they are operating. Here at Clemson we have a diverse range of users including bioinformatics, digital production, astrophysics, several humanities areas and cloud computing.

Other Universities and Research labs are migrating to OrangeFS from PVFS2 and have commented on how it has solved several of their problems in the past. The PVFS2 users list and community has over 260 members and file system research around the globe is accomplished with PVFS2, now OrangeFS as its base.

HPCwire: What types of support and services does Omnibond are offer for OrangeFS and what’s the pricing model?

Wilson: Commercial grade services provide what customers would expect from commercial software but better. When you pay for a typical software license you get access to the software, and support may be extra. With OrangeFS and Omnibond you have the software; when you buy a subscription you get access to support but it also pays for future development. With your subscription you have a say in what features you would like worked on in the future.

For commercial customers a 5-storage-server bundle starts at $25,000 and as quantities increase the price per storage server decreases. We also offer custom pricing for cloud customers who need more scalable options

HPCwire: What does the roadmap for OrangeFS look like for the next couple of years?

Wilson: We have just released several new client interfaces and a new distributed directories implementation. Distributed directories allows directory entries for a single directory to be spread across multiple servers so that multiple client processes can be accessing a very large directory in parallel.

For the last few years we have been developing a new access control implementation based on signed capabilities that will improve the security of OrangeFS significantly with capability based security, which will be the basis of future federated file system access. We hope to be releasing this sometime in the coming months. We have a new Posix-like user interface, and it will include a user-level configurable data cache in the works that should be released soon as well.

Much of our development right now is focused on redundancy, particularly redundant metadata. Today users rely on RAID systems at each server to manage disk failure. In future systems we plan to allow the servers to automatically replicate data and metadata across multiple servers. As part of this we are moving to a more flexible architecture for managing servers in a distributed environment, including not only replication but tiered migration and a much more dynamic object model.

Similar efforts are under way within many research groups; OrangeFS will hopefully contribute to and benefit from these efforts. Finally, on the long-range radar, there is a project under way including LSU, Indiana, and Clemson, to develop a new object-oriented IO model called PXFS, using OrangeFS as a platform and targeting Exascale systems.

HPCwire: If someone wanted to give OrangeFS a try, how would they go about it?

Ligon: They can download a tarball from the website or download our latest changes from our CVS repository. Instructions on how to install the system are found in the documentation tab of our site.

OrangeFS builds using autoconf, make, and gcc from GNU. Most of the code will build and run on any UNIX-based system, except the VFS module, which is Linux-specific. An experimental FUSE module is included. The main dependencies are BerkeleyDB and the proper kernel headers (if the VFS module is to be built). Some operating systems use an old version of BerkeleyDB. In that case, make sure you install and build a newer OrangeFS version — version 4.8.30 or higher.

OrangeFS can be built for a regular user in virtually any location and tested on one or more machines. Access to the “root” account is required to install and start the VFS module. The file system can be operated without the VFS module, but most users will want to install it.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, code-named Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from its predecessors, including the red-hot H100 and A100 GPUs. Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. While Nvidia may not spring to mind when thinking of the quant Read more…

2024 Winter Classic: Meet the HPE Mentors

March 18, 2024

The latest installment of the 2024 Winter Classic Studio Update Show features our interview with the HPE mentor team who introduced our student teams to the joys (and potential sorrows) of the HPL (LINPACK) and accompany Read more…

Houston We Have a Solution: Addressing the HPC and Tech Talent Gap

March 15, 2024

Generations of Houstonian teachers, counselors, and parents have either worked in the aerospace industry or know people who do - the prospect of entering the field was normalized for boys in 1969 when the Apollo 11 missi Read more…

Apple Buys DarwinAI Deepening its AI Push According to Report

March 14, 2024

Apple has purchased Canadian AI startup DarwinAI according to a Bloomberg report today. Apparently the deal was done early this year but still hasn’t been publicly announced according to the report. Apple is preparing Read more…

Survey of Rapid Training Methods for Neural Networks

March 14, 2024

Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimization algorithms to iteratively refine their parameters until Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, code-named Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Houston We Have a Solution: Addressing the HPC and Tech Talent Gap

March 15, 2024

Generations of Houstonian teachers, counselors, and parents have either worked in the aerospace industry or know people who do - the prospect of entering the fi Read more…

Survey of Rapid Training Methods for Neural Networks

March 14, 2024

Artificial neural networks are computing systems with interconnected layers that process and learn from data. During training, neural networks utilize optimizat Read more…

PASQAL Issues Roadmap to 10,000 Qubits in 2026 and Fault Tolerance in 2028

March 13, 2024

Paris-based PASQAL, a developer of neutral atom-based quantum computers, yesterday issued a roadmap for delivering systems with 10,000 physical qubits in 2026 a Read more…

India Is an AI Powerhouse Waiting to Happen, but Challenges Await

March 12, 2024

The Indian government is pushing full speed ahead to make the country an attractive technology base, especially in the hot fields of AI and semiconductors, but Read more…

Charles Tahan Exits National Quantum Coordination Office

March 12, 2024

(March 1, 2024) My first official day at the White House Office of Science and Technology Policy (OSTP) was June 15, 2020, during the depths of the COVID-19 loc Read more…

AI Bias In the Spotlight On International Women’s Day

March 11, 2024

What impact does AI bias have on women and girls? What can people do to increase female participation in the AI field? These are some of the questions the tech Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Analyst Panel Says Take the Quantum Computing Plunge Now…

November 27, 2023

Should you start exploring quantum computing? Yes, said a panel of analysts convened at Tabor Communications HPC and AI on Wall Street conference earlier this y Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Leading Solution Providers

Contributors

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Training of 1-Trillion Parameter Scientific AI Begins

November 13, 2023

A US national lab has started training a massive AI brain that could ultimately become the must-have computing resource for scientific researchers. Argonne N Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire