PVFS: A Parallel Virtual File System for Linux Clusters
As mentioned before, PVFS does not implement many security features at this time. It is primarily intended for use on private cluster networks that can insure trusted clients. There is no restriction on client connections, nor is there any encryption or keys used to verify user authenticity. Client nodes are generally trusted to provide accurate UID information for use in file permissions and ownership checks, just as in NFS.
There are many changes and advances in store for PVFS. The existing generation of PVFS is undergoing modifications and testing to support a higher degree of scalability. These mostly address issues with supporting large numbers of TCP/IP sockets. They will also resolve the issues inherent in supporting 64-bit (greater than two-gigabyte) file sizes and offsets. This will allow PVFS to scale to the current size of large-scale clusters that utilize hundreds or thousands of nodes.
PVFS as a whole is undergoing a full redesign at the same time. This will result in a complete rewrite of PVFS that incorporates new technology and lessons learned from the previous implementation. This version of PVFS will not be available for quite some time but is already in active development.
Some of the features that will be supported in the next generation are:
Reactive scheduling that allows PVFS to adapt policies based on system state and application load
Modular support for a variety of networking systems, so that the file system is no longer bound to TCP/IP but can take advantage of more advanced messaging protocols as they become available
Modular support for a variety of storage methods to allow I/O dæmons to access local data through various methods, such as raw I/O or asynchronous I/O
Multiple manager support
Redundancy of both I/O data and metadata in case of system failure
Improvements in the UNIX compatibility layer
More advanced options for data distribution as well as data representation
After evaluating several distributed file systems, we chose to use PVFS for applications that require intensive I/O. PVFS, in its current state, does not provide any redundancy or high security features. However, the research is still ongoing, and we have high hopes in this regard. We believe that if PVFS were to provide access security, data redundancy and management node redundancy, then it would be more suitable for adoption as part of a highly scalable, reliable and fault-tolerant Linux cluster. As it stands now, however, it is more suited for application domains (such as scientific computing) in which optimal performance is paramount rather than high availability.
I had a pleasant experience with PVFS and with the developers who provided a lot of help as we achieved the above setup and contributed much to the writing of this article.
If you are interested in distributed file systems and you need support for high-performance I/O, I highly recommend that you try out PVFS. PVFS is freely available under the GPL and can be downloaded from Clemson University's web site (see Resources).
Primary PVFS developers: Robert Ross, Mathematics and Computer Science Division, Argonne National Lab. Philip Carns and Walt Ligon, Parallel Architecture Research Lab, Clemson University, with support from NASA's Goddard Space Flight Center as well as Argonne National Lab. Ericsson Research Canada: The Systems Research Department at Ericsson Research Canada for providing the facilities and equipment as well as approving the publication of this article.
Philip Carns (pcarns@hubcap.clemson.edu) is a graduate student at the Parallel Architecture Research Lab at Clemson University. Robert Ross (rross@mcs.anl.gov) is employed at the Argonne National Laboratory by the Mathematics and Computer Science Division. He will receive his Doctoral degree in Computer Engineering from Clemson University in December 2000.
Ibrahim F. Haddad (ibrahim.haddad@lmc.ericsson.se) works for Ericsson Research Canada in the Systems Research Division. He is currently a DrSc candidate in Computer Science at Concordia University in Montréal.
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
If you already use virtualized infrastructure, you are well on your way to leveraging the power of the cloud. Virtualization offers the promise of limitless resources, but how do you manage that scalability when your DevOps team doesn’t scale? In today’s hypercompetitive markets, fast results can make a difference between leading the pack vs. obsolescence. Organizations need more benefits from cloud computing than just raw resources. They need agility, flexibility, convenience, ROI, and control.
Stackato private Platform-as-a-Service technology from ActiveState extends your private cloud infrastructure by creating a private PaaS to provide on-demand availability, flexibility, control, and ultimately, faster time-to-market for your enterprise.
Sponsored by ActiveState
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?
| Speed Up Your Web Site with Varnish | Jun 19, 2013 |
| Non-Linux FOSS: libnotify, OS X Style | Jun 18, 2013 |
| Containers—Not Virtual Machines—Are the Future Cloud | Jun 17, 2013 |
| Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer | Jun 12, 2013 |
| Weechat, Irssi's Little Brother | Jun 11, 2013 |
| One Tail Just Isn't Enough | Jun 07, 2013 |
- Speed Up Your Web Site with Varnish
- Containers—Not Virtual Machines—Are the Future Cloud
- Linux Systems Administrator
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Senior Perl Developer
- Technical Support Rep
- Non-Linux FOSS: libnotify, OS X Style
- UX Designer
- Web & UI Developer (JavaScript & j Query)
- RSS Feeds
- Reply to comment | Linux Journal
11 min 59 sec ago - Reply to comment | Linux Journal
2 hours 38 min ago - Reply to comment | Linux Journal
6 hours 37 min ago - Yeah, user namespaces are
7 hours 54 min ago - Cari Uang
11 hours 25 min ago - user namespaces
14 hours 18 min ago - yea
14 hours 44 min ago - One advantage with VMs
17 hours 13 min ago - about info
17 hours 46 min ago - info
17 hours 47 min ago




Comments
Re: PVFS: A Parallel Virtual File System for Linux Clusters
Hi,
I have the feeling that I already know the answer on my question. However, I'd like to know if it is possible to install PVFS on a Linux cluster as a non-root user?
Greetings,
Jeroen