SBIR/STTR Research Award

SBIR Phase I: Application of Infinitesimal Perturbation Analysis over Continuous Flow Models to a High-Performance Content-based Routing Network

Award identifier 6ffd68cda2c5ed871203152b4c7d19e8322fdf1720ced0ead37d2e3befc22c38Awarding agency National Science Foundation

Award amount

$98,991

Program and phase

SBIR · Phase I

Award year

2003

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Semandex Networks Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
PSRYWARX7BM1
Solicitation number
Not reported
Topic code
Not reported

Research abstract

This Small Business Innovation Research (SBIR) Phase I project will investigate distributed traffic-management algorithms applied to overlay networks of Semantic Routers constituting a high-speed Semantic Web. Semandex Networks is pioneering new categories of information routers based on eXtensible Markup Language (XML). These routers automatically know where content is and to where to deliver it, dramatically reducing information breaks. A hierarchy of edge and core application-layer routers interconnect for scalable, accurate, and timely information delivery, in a manner that could not otherwise be economically or technically realized. Traffic management in this real-time heterogeneous system presents new challenges that cannot be solved by traditional link-based point-to-point approaches. Specifically, the bandwidths of the underlying links are shared with other layer-3 traffic of unknown characteristics, and outputs from individual virtual ports are aggregated over the outgoing link or links from an individual layer-7 router. Commercial application for this project is that flow and management issues needed to enhance next generations Internet structures will be tractable therefore reducing downtimes and increasing net performance.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

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