Network Operations (NetOps) Data Transport Optimization Engine

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,994.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
N00039-10-C-0076
Agency Tracking Number:
N093-219-0372
Solicitation Year:
2009
Solicitation Topic Code:
N093-219
Solicitation Number:
2009.3
Small Business Information
DataSoft Corp.
1475 N. Scottsdale Road, #460, Scottsdale, AZ, 85257
Hubzone Owned:
N
Socially and Economically Disadvantaged:
Y
Woman Owned:
N
Duns:
960462034
Principal Investigator:
Larry Dunst
Principal Investigator
(480) 763-5777
larry.dunst@datasoft.com
Business Contact:
Vik Patel
CEO
(480) 763-5777
vik.patel@datasoft.com
Research Institution:
n/a
Abstract
The DataSoft Cost-Effective Approaches to NetOps Optimization Engine (CANOE) limits the scope of NetOps data gathered at the source and cross-network by dynamically identifying the fraction of data that is most relevant to the current network status and transmitting or forwarding only that data. This approach is based on the observation that most of the data currently being gathered and transmitted is not interesting. Many performance monitoring parameters rarely change or vary outside of a nominal range except under fault conditions. We propose to optimize the collection of NetOps data by dynamically determining the information content and prioritizing data transmission based on information content ratings. In addition, our approach develops a simpler interface for interoperation between network management elements that focuses on the specific needs of NetOps applications while building on existing standards.

* information listed above is at the time of submission.

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