Interoperability between Ultra High-Speed Networks and traditional IP Networks (SmartNIC)

Award Information
Agency:
Department of Energy
Branch:
N/A
Amount:
$749,974.00
Award Year:
2006
Program:
SBIR
Phase:
Phase II
Contract:
DE-FG02-05ER84163
Agency Tracking Number:
79373S05-I
Solicitation Year:
2006
Solicitation Topic Code:
40
Solicitation Number:
DE-FG02-06ER06-09
Small Business Information
Rnet Technologies, Inc.
555 Bryant Street, #578, Palo Alto, CA, 94301
Hubzone Owned:
N
Socially and Economically Disadvantaged:
Y
Woman Owned:
Y
Duns:
N/A
Principal Investigator
 Gerald Sabin
 Mr.
 (937) 433-2886
 gsabin@Rnet-Tech.com
Business Contact
 Ram Balasubramanian
Title: Mr.
Phone: (650) 248-3371
Email: rbalasubramanian@Rnet-Tech.com
Research Institution
N/A
Abstract
Emerging, large-scale distributed-science applications increasingly depend on ultra-high-speed lambda-based networks to securely deliver end-to-end throughputs of 10-100 gigabits per second. However, in order to achieve high levels of end-to-end performance, it will be necessary to match the performance of these ultra-high-speed networks to traditional ¿slow¿ Internet Protocol networks. This project will develop a solution to overcome this mismatch problem. Phase I proved feasibility by conducting a simulation that used a previously-developed middleware and networking software stack. It was determined that, in order to be effective in the real world, the middleware and the networking software stack must be off-loaded to a network interface card. Therefore, in Phase II, the required software infrastructure will be developed to off-load the networking software stack to a network interface card, which would serve as a bridge between the ultra-high speed lambda networks and traditional internet protocol networks. Commercial Applications and other Benefits as described by the awardee: The bridging technology should benefit scientists in both national laboratories and universities who are working on large-scale simulation problems and have a need for on-time delivery of large amount of data. The simulations include computational climate modeling, nano-scale science (both experimental and computational), and high energy physics

* information listed above is at the time of submission.

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