September 10, 2010
The National Science Foundation has set aside $32 million for universities on the cutting edge of research for the future internet—a future that does certainly appear to include cloud computing, particularly given the reliance of the mobile web on cloud-based applications.
The NSF Directorate for Computer and Information Science and Engineering recently announced a few of the grant recipients, including projects based out of the San Diego Supercomputer Center and the University of Pennsylvania, among others. The project range from those concerned specifically with security (like the eXpressive Internet Architecture project), to mobile computing, such as the MobilityFirst project, which is a collaboration between researchers at nine universities and a handful of industry partners that seeks to find ways to improve the use of the internet on mobile devices.
Of note is a project led by Jonathan Smith from the University of Pennsylvania and Cisco researchers called “Nebula” (even though that name is already “taken” by NASA) that seeks to examine issues of security and trust in the global cloud with a distinct eye on privacy. As Smith told Network World, “Security and privacy are major challenges for the emerging cloud computing model, and Nebula research will address security challenges in the network with new approaches to reliability, availability, confidentiality and other system properties.”
The NSF is seeing clear value in the cloud and its use on mobile devices in this round of grant-handing, just as Europe has been making similar efforts to expand cloud research with its newly announced EU-funded BonFIRE project, aimed at cloud computing research specifically.
Full story at Network World
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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