December 10, 2012
For the first time it is now possible to access the cloud computing strategies of all 22 Department of Energy national laboratories and research organizations in one document. The 53-page report provides an overview of the progress and future plans for each of the 22 centers.
The developments are an extension of the Cloud First mandate that came out of the Office of Management and Budget's 25-point plan to reform federal information technology management. The plan, published Dec. 9, 2010, attributes a range of benefits to cloud computing, including better cost efficiency, greater flexibility and faster procurement times.
As the current document elucidates, a special challenge for these DOE agencies is security. Regardless of other possible cloud benefits, these labs cannot afford to skimp on cyber security practices. The authors point to analyst firm Gartner's seven security considerations when moving to the cloud: privileged user access, regulatory compliance, data location, data segregation, recovery, investigative support, and long-term viability.
A proven method of reducing risk is to "approve once and use often." This approach, which adds consistency to security controls and eliminates redundancies, was standardized by the OMB in December 2011, under the Federal Risk and Authorization Management Program (FedRAMP).

Earlier this year, the DOE in partnership with the National Nuclear Security Administration (NNSA) established the RightPath program to address network vulnerabilities by aligning the various departments' IT strategies. Toward that end, the RightPath team is developing a secure cloud services brokerage technology called YOURcloud which will connect a federal customer base to a federated marketplace of cloud service providers (public, private and hybrid).
Each of the 22 institutions outlined have different types of cloud implementations in different stages of development, illustrating that there is no one-size-fits all model. However, the authors do draw several simple but important, conclusions.
1. Have a plan.
2. Address security concerns.
3. Share successes and missteps.
4. Remember cloud services are evolving.
"Understand the cloud and its risks and benefits," the authors write. "As cloud computing continues to evolve, know that risks and benefits may change."
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
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Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
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The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
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05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.