July 12, 2010
Bottlenecks are one of the biggest banes to cloud computing, especially for users who require solid performance and predicatability. To get to the heart of the problem, researchers from North Carolina State University have devised a solution that will allow infrastructure providers to to spot and predict these problems and address them before they have an impact on performance. This is, of course, good news for end users but can also save infrastructure providers a great deal of money since when these issues occur they are often in violation of ther own SLAs--a costly mistake. This research allows for prediction of abnormalities via the crafting of models that look at system activity in a host of different contexts, thus making a profile of normal system behavior so that when something is out of synch, it is possible to see the exact root of the problem and allowing for time to correct the issue. This is what one of the researchers called a "context aware" prediction approach that leads to "an 80 percent lower rate of false alarms."
Full story at R&D Magazine
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.
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.