MRI-R2 Consortium: Development of
Dynamic Network System (DYNES)

This NSF-funded project (grant number 0958998) will develop and deploy the Dynamic Network System (DYNES), a nationwide cyber-instrument spanning about 40 US universities and 11 Internet2 connectors. A collaborative team including Internet2, Caltech, University of Michigan, and Vanderbilt University will work with regional networks and campuses to support large, long-distance scientific data flows in the LHC, other leading programs in data intensive science (such as LIGO, Virtual Observatory, and other large scale sky surveys), and the broader scientific community.

Of Note

A beta version of the DYNES User Guide is now available.

V3 of the Guide describing use of the FDTAgent is now available (PDF)

The Projected DYNES Topology and a sample of the DYNES relationship to OS3E

Community calls to discuss project updates occured on:
May 27, 2011, 12:00p EDT and
May 31, 2011, 2:00p EDT
Slides PPT PDF

Deployment Groups have been organized (doc pdf).

Award Recipients were announced in Feb 2011 (doc pdf).

Read the latest DYNES infosheet (pdf).

For the latest announcements concerning DYNES, subscribe to the dynes@internet2.edu mailing list.

To ask questions of the DYNES project team, email dynes-questions@internet2.edu.

Presentations

By integrating existing and emerging protocols and software for dynamic circuit provisioning and scheduling, in-depth end-to-end network path and end-system monitoring, and higher level services for management on a national scale, DYNES will allocate and schedule channels with bandwidth guarantees to several classes of prioritized data flows with known bandwidth requirements, and to the largest high priority data flows, enabling scientists to utilize and share network resources effectively. DYNES is dimensioned to support many data transfers which require aggregate network throughputs between sites of 1-20 Gbps, rising to the 40-100 Gbps range. This capacity will enhance researchers' ability to distribute, process, access, and collaboratively analyze 1 to 100 TB datasets at university-based Tier2 and Tier3 centers now, and PB-scale datasets once the LHC begins operation.

DYNES is based on a "hybrid" packet and circuit architecture composed of Internet2's ION service and extensions over regional and state networks to US campuses. It will connect with transoceanic (IRNC, USLHCNet), European (GÉANT), Asian (SINET3) and Latin American (RNP and ANSP) R&E networks. It will build on existing key open source software components that have already been individually field-tested and hardened in part by the PIs: DCN Software Suite (OSCARS/DRAGON), perfSONAR, UltraLight Linux kernel, FDT, FDT/dCache, FDT/Hadoop, and PLaNeTs.

The DYNES team will partner with the LHC and astrophysics communities, OSG, and Worldwide LHC Computing Grid (WLCG) to deliver these capabilities to the LHC experiment as well as others such as LIGO, VO and eVLBI programs, broadening existing Grid computing systems by promoting the network to a reliable, high performance, actively managed component.

Future science programs in HEP, astrophysics and gravity wave physics, and other data intensive disciplines, will be facilitated by DYNES' technologies and worldwide network partnerships. Working with CHEPREO and similar education and outreach efforts targeting under-served communities both in the US and overseas, DYNES will reach a wide variety of students at collaborating institutes including underrepresented groups and minorities. This will lower the barriers, and enable individual graduate students, undergrads, postdocs and faculty to use DYNES to achieve high throughput in support of their research in many data intensive fields.

DYNES documentation

The following documents should all be considered FINAL.

If you would like to have a one-on-one discussion about the application process, please contact Eric Boyd, Linda Roos, and Jason Zurawski at dynes-questions@internet2.edu.

Older Documents

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