Classified as a Service (CLaaS)
Abstract
To stay competitive and relevant, The U.S. government will require the same agility andexE;ciencies 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. Today'ssolution 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 exE;ciency continues to accelerate.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 20, 2019
- Accession Number
- AD1100938
Entities
People
- Charles Munson
- Jeffrey Hughes
- Martine Kalke
- Nabil Schear
- Rushi Patel
Organizations
- Boston University
- MIT Lincoln Laboratory