SBIR/STTR Research Award
Flow Ordering and Hierarchical Bottleneck Identification for High Speed Data Networks
Award amount
$750,000Program and phase
SBIR · Phase IIAward year
2020Award details
- Awarding agency
- Department of Defense
- Branch
- Navy
- Recipient company
- Reservoir Labs, Inc.
- Proposal award date
- 2020-06-09
- Contract end date
- 2021-12-06
- UEI
- J4DVUAMQJMW7
- Solicitation number
- 19.1
- Topic code
- DOE19-02B
Research abstract
The proposed effort will implement a flow and bottleneck optimization platform for the Navy's Consolidated Afloat Networks and Enterprise Services (CANES) to deliver higher system 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.
- MDA21-021 - Salvo Management Using Artificial Intelligence
- Correlating and Analyzing Network Data through Interpretable Decompositions (CANDID)
- Technologies for Sharing Network Performance Data (TEECODE)
- GEO-M2M: GEOmaterials' Microscopic TO Macroscopic (electromagnetic response)
- Portacy: Enabling Advanced Exascale Mapping Tool to Assist in Porting Legacy Codes
Research funding history
71 SBIR/STTR records share this UEI (2004–2022). Reported award amounts total $38,801,244. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense, Department of Energy