Classified as a Service (CLaaS)
MIT Lincoln Laboratory Lexington United States
Pagination or Media Count:
To stay competitive and relevant, The U.S. government will require the same agility andeciencies for its classified computational tasks that will be available to any other government orentity that could leverage large commercial clouds. The U.S. will not have the resources to buildits own infrastructure to match the scale and dynamism of future commercial clouds. Todayssolution of building relatively small, permanently-isolated approximations of these clouds will alsonot be a long-term solution. Smaller clouds do not easily accommodate large, dynamic bursts indemand, which will be key when accommodating future tasks such as machine learning or whenresponding to increased operational tempos. Additionally, permanently-isolated approximations ofthe commercial cloud may become poor approximations as the pace of commercial cloud innovationand eciency continues to accelerate.
- Computer Systems Management and Standards