SBIR/STTR Research Award

SBIR Phase I: ITScript: A Language for Cloud Management

Award identifier e5fa76b67a66891e9f8cd84448c332b1135c1adcd54f35303a2fea5cc8054cc5Awarding agency National Science Foundation

Award amount

$149,169

Program and phase

SBIR · Phase I

Award year

2015

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Inhabited Type LLC
Proposal award date
2015-01-01
Contract end date
2015-12-31
UEI
Not reported
Solicitation number
Not reported
Topic code
IC

Research abstract

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will be to increase the reliability of existing cloud applications, while also lowering the barrier to entry to cloud operations for less technically sophisticated users. The rapid growth of cloud computing over the past decade has made enterprise-scale IT infrastructure available to companies of all sizes, but the ability of most companies to effectively leverage those resources significantly trails the technological leap that cloud computing represents. The goal of this project is to address these deficiencies by designing and implementing a high-level, declarative programming language that infrastructure operators can use to manage their cloud deployments. Using this language and its accompanying abstractions will reduce application downtime due to operator error, enable operators to more easily and quickly update cloud deployments, and make applications portable across cloud providers. This Small Business Innovation Research (SBIR) Phase I project advances the techniques for managing complex, large-scale systems on cloud platforms. Existing cloud management platforms are based on low-level abstractions, such as individual virtual machines, and do not give operators a way to describe the high-level structure of cloud deployments. By taking a language-based approach to the problems of cloud management, this project will produce robust cloud abstractions that will handle the low-level details of cloud operations. In addition to facilitating manual administration, these abstractions will serve as a basis for more sophisticated cloud control programs than are possible today.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

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