Inside the Briefcase

How to align your visual brand guidelines and create consistently on-brand content

How to align your visual brand guidelines and create consistently on-brand content

In this ebook, we’ll explore the various themes leading...

Your B2B Content Strategy in 2017: How To Think Like A Movie Studio + 6 Other Tactics

Your B2B Content Strategy in 2017: How To Think Like A Movie Studio + 6 Other Tactics

Jon Lombardo, Creative Lead, LinkedIn, reveals in this presentation...

2017 State of Technology Training

2017 State of Technology Training

Pluralsight recently completed an in-depth survey of 300 enterprises...

IT Briefcase Exclusive Interview: Keeping Your (Manufacturing) Head in the Clouds

IT Briefcase Exclusive Interview: Keeping Your (Manufacturing) Head in the Clouds

with Srivats Ramaswami, 42Q
In this interview, Srivats Ramaswami,...

IT Briefcase Exclusive Interview: New Solutions Keeping Enterprise Business Ahead of the Game

IT Briefcase Exclusive Interview: New Solutions Keeping Enterprise Business Ahead of the Game

with Sander Barens, Expereo
In this interview, Sander Barens...

Cloud Computing Not Quite Ready for the Lab: US Government Report

January 20, 2012 No Comments

For US federal government agencies, the rule is “cloud first” when looking to make new IT acquisitions. However, cloud isn’t always the best choice. The economics of cloud computing may be compelling for many front-line and transactional applications, but the costs and performance issues in applying cloud to specialized, deep analytical, or scientific environments may still be too prohibitive in many cases.

That’s the conclusion drawn in a recently issued report from the U.S. Department of Energy‘s Magellan project (“a cloud for science”), initiated two years ago to investigate the potential role of cloud computing in addressing the data-intensive computing needs of the DOE’s Office of Science.

The Magellan team sought to measure the returns for cloud computing — versus existing on-premises systems — from performance, usability, and cost standpoints. The researchers observed cloud models such as Infrastructure as a Service (IaaS) and Platform as a Service(PaaS), virtual software stacks, MapReduce and Hadoop in action. (Thanks toInformationWeek’s John Foley for surfacing this report.)

Read Full Story on Forbes.com

CLOUD COMPUTING

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