Platform for High-Assurance Cloud Computing

Abstract

Cornells MRC effort undertook to help the military leverage cloud computing (elasticity, better data center utilization, automated management). The core issue is that cloud computing is notoriously weak on consistency, fault-tolerance, and security. With our new cloud computing tool chain, applications needing high assurance can be implemented with ease and in the same general manner as is used to create todays standard cloud computing applications and services. Additionally, our SuperCloud (a related but distinct project under the same MRC funding) reduces vendor lock-in and permits application to migrate, to follow the sun or leverage inexpensive cloud resources. Jointly, these efforts offer a major advance in the ability of the government and military to leverage the cloud. We demonstrated our work in an area important to the military: the smart power grid, protection of which has been identified as a major national defense priority. At the same time, progress towards a smarter grid offers a chance to save power and increase utilization of renewables. Using our MRC tool chain, we created GridCloud, and worked with ISO NE, NYPA and NY ISO to show that our solutions could host a resilient cloud in support of a smart bulk power grid.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2016
Accession Number
AD1010441

Entities

People

  • Ken Birman

Organizations

  • Cornell University

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Cloud Computing
  • Computer Networks
  • Computer Programming
  • Computers
  • Data Centers
  • Electrical Grids
  • Fault Tolerance
  • Governments
  • High Performance Computing
  • Infrastructure
  • Load Monitoring
  • Operating Systems
  • Parallel Computing
  • Software Defined Networks
  • Standards

Fields of Study

  • Computer science

Readers

  • Economics
  • Energy Conservation and Renewable Energy Engineering.
  • Parallel and Distributed Computing.