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IBM Turns To Cloud Management


Want a clue on what's next from IBM in cloud computing? Then take note that Dennis Quan, the guy behind IBM's cloud computing partnership with Google, recently moved into IBM Tivoli's development group. His new assignment tells a lot about the challenges IBM sees ahead. Quan is director of development in IBM's Autonomic Computing division. Autonomic computing refers to highly adaptive, self-managing distributed computing systems. In other words, it's got a lot in common with cloud computing, and Quan tells me that one of the things he's working on is aligning IBM's work in these two areas.


Full story at InformationWeek

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CERN, Google, and the Future of Global Science Initiatives

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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Avoiding Scientific Computing Bottlenecks in the Cloud

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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Overcoming the Cloud Security Barrier for Financial Services

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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Exploring the Potential of Heterogeneous Computing

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.

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