August 27, 2010
HP has been in the news this week due to its acquisition struggle against rival Dell to gain storage vendor 3PAR for reasons that many assume are cloudy in nature. Although the news was lost in the din of the bidding war, the company quietly took hold of Statavia, a cloud service automation company that works to aid companies as they shift to the cloud and attempt to manage their hosts of cloud-based applications.
Although there were about ten other companies that might have seemed better positioned as an acquisition on the part of HP to bolster its cloud service automation product offerings, IDG analyst Mikael Ricknas suggested that Statavia was a solid purchase, claiming that “key advantages of Stratavia’s tools are that they automate tasks and can be used in so-called hybrid environments, which host applications in a mixture of on-premise, off-premise, physical and cloud-based environments.”
HP and Dell, both companies that have indicated strong interest in building their cloud offerings, are certainly seeing clear value in making sure their cloud management and services portfolios are robust, which indicates that are fewer and fewer questions about the movement of the cloud as concept to mainstream business practice. While there are, quite unquestionably, some trust and maturation issues, by making acquisitions of 3PAR, Stratavia, and whatever comes next, both tech giants are counting on clouds to be at the heart of their business strategies.
Full story at Reuters
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
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).
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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