WASHINGTON — It may be a slow process, but the federal migration of government IT systems to the cloud is building steam, a panel of senior government officials said Wednesday here at the Brookings Institution, a prominent Washington think tank.
They described a thicket of issues impeding the shift to the cloud, particularly concerns over the security and privacy of sensitive data, as well as the cultural reluctance on the part of some CIOs and managers to embrace a technology they continue to view as longer on hype than promise.
But the payoffs could be significant, and the White House is leaning on the agencies to develop preliminary plans for shifting to the cloud. With a hulking federal computing infrastructure that amounts to a $76 billion annual budget, the cloud is beginning to win acceptance as the next wave of government IT, if only gradually.
“There’s no question why we in the federal government are focusing on cloud computing — lots of reasons that basically boil down to cheaper, faster, greener,” said David McClure, associate administrator of the Office of Citizen Services and Communications at the General Services Administration.
“That’s essentially the power behind cloud computing,” he said. “We’re not doing it just for the heck of it.”
At the same time, McClure noted that significant challenges remain. In addition to the security and privacy concerns that currently rank as the chief impediments, adoption of the cloud is further hindered by resistance among some senior IT managers, he said, noting the importance of education and training to explain the benefits of the new service-based mode of computing to get beyond the buzzword.
But defining what, exactly, cloud computing is remains a sticking point. The National Institute of Standards and Technology (NIST) is currently on the 15th revision of its official working definition of the term.
NIST, the division of the Commerce Department responsible for shepherding along the process of setting technical standards, is currently at work developing a common framework for the new wave of computing technologies.
Earlier this month, for instance, NIST issued a set of security guidelines for virtualization technologies, and later this year plans to release a preliminary document offering guidance on cloud computing.
Through its cloud-computing work, NIST plans to release an interim set of standards as a public Web portal to serve as an interim framework while the numerous stakeholders from industry, academia and government work through the more protracted and permanent standards-setting process.
“It takes time to build consensus,” said Dawn Leaf, senior executive for cloud computing at NIST. “It takes time to have innovation in a new technology. It takes time to ensure that standards are of the quality and completeness such that they will support industry and requirements in the long term and be broadly adopted.”
NIST’s public portal for interim cloud standards is set to go live later this year. The portal is an outgrowth of NIST’s project with the cumbersome name Standards Acceleration to Jumpstart Adoption of Cloud Computing, or SAJACC.
While the final definition of cloud computing remains a work in progress, officials have settled on several defining characteristics. Notably, cloud technologies are service-based, rather than being sold as individual products. They are elastic and scalable, generally available as a shared resource where usage can be metered, and they are made available over IP networks.
While those characteristics can help inform the conversation with federal IT managers, many remain skeptical of a technology that is still knocked for being heavier on hype than real savings in cost or efficiency.
“Whoever developed the cloud concept, I wish we could almost rename it,” McClure said. “Because we are now so wrapped around the abstraction of cloud computing that it’s starting to lose its ability to even communicate with diverse audiences on what cloud computing is.”
To win the support of federal CIOs and their subordinates throughout the government IT hierarchy, cloud proponents need to demonstrate, as with any other technology undertaking, a real and tangible benefit.
“It remains an abstraction,” McClure said. “We need to get down to the specifics as to what cloud computing really offers for us in the government compared to other computing approaches.”
He also bemoaned the complex and lengthy procurement process that dogs government IT. In the interest of spurring deployment of the cloud, GSA has set up Apps.gov, an online storefront for cloud firms to promote their offerings to federal IT buyers.
Launched last September, Apps.gov has focused on lightweight software-as-a-service offerings. But later this year, McClure said it will expand to include more infrastructure-oriented cloud technologies, such as storage and virtualization solutions, where enterprises enjoy some of the largest cost savings.
“We’ve got to figure out how to simplify cloud acquisitions,” McClure said.
Kenneth Corbin is an associate editor at InternetNews.com, the news service of Internet.com, the network for technology professionals.
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.