SBIR/STTR Research Award

Secure Processing and Data Management Cloud (.CRUNCH V3)

Award identifier c3149a1a4f4cc6b1203ecd48a3ca1332515f5db11467b02800e52005e663c7aaAwarding agency Department of Defense · Air Force

Award amount

$149,940

Program and phase

SBIR · Phase I

Award year

2012

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
COLORADO ENGINEERING INC.
Proposal award date
2012-05-04
Contract end date
Not reported
UEI
D9RCJ7A3A8Y3
Solicitation number
2012.1
Topic code
AF121-040

Research abstract

ABSTRACT: Colorado Engineering, Inc. (CEI) proposes to develop transparent resource provisioning techniques with self-adaptive control and virtualization that support on-demand cloud computing for enterprise systems. Cloud computing facilitates shared and dynamic allocation of resources to reduce cost through multiplexing and to enable on-demand services. However, providing on-demand services and cloud computing imposes a few major challenging issues including: transparency, scalability, platform heterogeneity, and unstable network bandwidth. The work proposed here will address these challenges by making computing and storage resources location transparent, supporting collaborative applications in difference scales with little or no impact in performance. BENEFIT: CEI has developed software and hardware technologies for a variety of government programs, and the team has transitioned over 37 products to production for use in DoD and Government systems. CEI also has experience commercializing technology developed under Government-funded programs. Products are packaged as COTS items, listed on a catalog price sheet, supported with technical application notes and marketing materials, and made available for sale to both the commercial and Government markets. CEI will promote technologies developed under this effort as part of its standard commercial product marketing and sales activities. The technology being developed to support transparent and autonomic resource provisioning techniques with self-adaptive control and virtualization can apply to any government or commercial need for cloud computing, since such approaches hold the promise of reduced costs through the shared and dynamic allocation of resources. On-demand cloud computing would be of particular interest to large scale enterprise computing environments which would find the technology to be of great benefit when dynamically allocating computing resources across disparate organizational boundaries. Examples of applications that could benefit from this research include enterprise file sharing, online entertainment and retail, telephony and cable systems, and image and video processing pipelines. CEI will leverage its marketing/sales resources to target companies like Amazon, Disney/Pixar, Google, and HP.

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.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

66 SBIR/STTR records share this UEI (1993–2021). Reported award amounts total $27,212,008. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, National Science Foundation, Department of Energy

Agency intelligence

Department of Defense

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