HPCwire

Leading HPC
Solution Providers




















HPCwire >> Off the Wire

Taming the Data Deluge with the New iRODS Data Grid System


Page:  1  of  3
1 | 2 | 3   All  »  

Version 1.0 offers new generation of distributed data management power

Feb. 7 -- In the Information Age, the freedom to easily generate and share digital forms of information is driving life-changing advances in science and medicine, dramatic expansions in communications, big gains in business productivity, and a new flowering in video, music, and other cultural expressions.

At the same time, the digital data we all love is growing explosively. In 2006, humanity produced 161 exabytes of digital data -- that's 161 billion billion bytes, or 12 stacks of books stretching from the Earth to the Sun -- more data than our capacity to store it.

This deluge of data is bringing with it unprecedented challenges in organizing, accessing, sharing, and preserving digital information. To meet these challenges, the Data-Intensive Computing Environments (DICE) group at the San Diego Supercomputer Center (SDSC) at UC San Diego has released version 1.0 of iRODS, the Integrated Rule-Oriented Data System, a powerful new open-source approach to managing digital data.

"iRODS is an innovative data grid system that incorporates and moves beyond ten years of experience in developing the widely used Storage Resource Broker (SRB) technology," said Reagan Moore, director of the DICE group at SDSC. "iRODS equips users to handle the full range of distributed data management needs, from extracting descriptive metadata and managing their data to moving it efficiently, sharing data securely with collaborators, publishing it in digital libraries, and finally archiving data for long-term preservation."

The most powerful new feature, for which the Integrated Rule-Oriented Data System is named, is an innovative "rule engine" that lets users easily accomplish complex data management tasks. Users can automate enforcement, or "virtualize" data management policies by applying rules that control the execution of all data access and manipulation operations. Rather than having to hard code these actions or workflows into the software, the user-friendly rules let any group easily customize the iRODS system for their specific data management needs.

For example, when astronomers take new photographs in a sky survey and enter them into a data collection, the researchers can set up iRODS rules to automatically extract descriptive information and record it in the iRODS Metadata Catalog (iCAT), replicate a copy to another repository for backup, create a thumbnail for a Web-based gallery, and run an analysis program to identify related images.

An organization's archivist can configure iRODS rules to identify and retain a collection of digital records for five years, and then move them to another site or destroy them. And if someone requests these records, the archivist can confirm that the current digital copy is indeed an authentic copy of the original. iRODS rules are being developed that will validate the trustworthiness of digital repositories.

Users can apply the growing set of existing rules or write new ones. Rules can also be developed as community-wide policies to manage data.

"One reason policy-based data management is important is that it lets communities integrate across different types of collection structures," said Moore. "What this means is that iRODS lets one community talk to any other community independent of what data management system the other community is using. No matter which technology you pick you aren't isolated."

Page:  1  of  3
1 | 2 | 3   All  »  

Article Tools

  • Print This Page
  • Bookmark This Article

Share Options

(Digg, Technorati, more)


Subscribe

Discussion

There are 0 discussion items posted.  

Sponsored Links

New Paper: Parallel Computing Without Parallel Programming
Learn how domain experts can run VHLL programs like MATLAB® on a variety of high-performance platforms without low-level reprogramming and how to work with the largest datasets and complex algorithms without sacrificing ease of use or reducing productivity.



Feature Articles

Spider Up and Spinning Connections to All Computing Platforms at ORNL

Spider, the world's biggest Lustre-based, centerwide file system, has been fully tested to support Oak Ridge National Laboratory's new petascale Cray XT4/XT5 Jaguar supercomputer and is now offering early access to scientists.
Read More...

Wolfram Alpha: A Web-Based Application That Embraced Supercomputers

Wolfram Alpha, the Web-based computational engine introduced in May, is not a traditional supercomputing application, but relies on supercomputers to satisfy its unique requirements.
Read More...

TeraGrid '09: Student Participation Soars

There was a new energy at this year's TeraGrid '09 conference thanks to an outstanding turnout for the student program. Thanks to support from the National Science Foundation, more than 100 high school, undergraduate and graduate students were able to participate in the conference.
Read More...

Top Headlines

3D Seismic Data: Taking a Smarter Approach to Interpretation

Jul 09 | Engineer Live | The demand for computational tools to underpin the 3D seismic interpretation process has never been more apparent. Read more...

Engineering Unemployment Soared in 2Q to 8.6%

Jul 08 | EE Times | Unemployment for U.S. engineers has reached record levels, according to government figures. Read more...

Gartner Adjusts 2009 IT Spend Downward Again

Jul 08 | Network World | Global spending for 2009 projected to drop 6 percent, for a total of $3.2 trillion. Read more...

Concurrent and Parallel Are Not The Same

Jul 08 | Linux Magazine | Portability or efficiency? Neither is guaranteed when writing explicit parallel code. Read more...

800 TFLOP Real-Time Ray Tracing GPU Unveiled, Not for Gamers

Jul 07 | Ars Technica | Japanese company builds custom ASIC to accelerate real-time ray traced rendering for the auto industry. Read more...

Featured Whitepapers

Parallel Computing Without Parallel Programming

Jul 10 | | Engineers, scientists, and other domain experts depend on the productivity enabled by very high-level language (VHLL) tools like MATLAB® and Python. However, as datasets grow larger and programs get more sophisticated, ordinary desktop computers can no longer keep up. The paper explores how to run VHLL programs on high-performance platforms without low-level reprogramming. Work with large datasets and complex algorithms without sacrificing ease of use or reducing productivity.

Building High Performance Computing in a Green and Modular Solution Building Block

Apr 14 | | Many HPC IT departments are feeling the rising pressure to deliver more capacity computing and performance while trying to reduce the total cost of ownership. This white paper discusses how an environmentally-friendly and open-standards HPC building block based computing system using flexible interconnect options helps address capacity computing needs.

Multimedia

Webcast: Dell Expands HPC Access and Adoption with Intel Cluster Ready Program


Source: Addison Snell, GM/VP, Tabor Research; sponsored by Dell

Many organizations that could benefit from the use of HPC clusters find that it is complicated to get the systems up and running because of limited IT resources or the complexities of the clusters themselves. Learn how the Intel Cluster Ready program, for which Dell was an original partner, seeks to address this challenge for entry level and mid-range HPC users.

Video White Paper: Architecting a Better Network Storage Solution

BlueArc's Titan architecture represents an evolutionary step in file servers by creating a hardware-based file system that can scale bandwidth, IOPS, and overall data capacity well beyond conventional software-based devices. With its ability to virtualize a massive storage pool of up to four usable petabytes of tiered storage, Titan can scale with growing data requirements, offering a competitive advantage for businesses, researchers, or other enterprises seeking to better manage data growth while still ensuring optimal performance.

Webcast: HPC Development Solutions: Sun Studio & Sun HPC ClusterTools


Sun Studio Compilers and Tools and Sun HPC ClusterTools allow you to create high performance parallel applications for OpenSolaris, Solaris and Linux. Sun Studio Express 11/08 includes MPI performance analysis capabilities and full OpenMP 3.0 compiler support. Learn about all this and the latest in Sun HPC ClusterTools 8.1.

Special Feature: ISC'09

Newsletters

Stay informed! Subscribe to HPCwire email Newsletters.






HPC Job Bank


Featured Events

WORLDCOMP 2009
Data Mining Courses