June 29, 2011
Manufacturers require a number of sophisticated computational tools for modeling, simulation and for daily business requirements but they also need serious security in place, especially when conducting design or other work in the cloud.
Manufacturing data, aside from the raw products that are created from it, can be worth millions. The newest product designs that have not been realized outside of CFD or other applications and the data detailing manufacturing processes are the very lifeblood of these organizations.
However, as an article in Industry Week points out, hackers are moving beyond stealing credit card numbers and into enterprise intellectual property—a hot commodity that has manufacturers on edge about cloud.
The article claims that there are already problems with “locating and protecting intellectual property throughout an organization.” This is due to the fact that “IP comingles among other unstructured data and proliferates in highly dispersed locations across the organization: folders on file servers, on laptops, USB drives…and now in the cloud.”
The author, Dave Elliot from the Symantec side of the Cloud Security Alliance offers a number of pieces of advice about manufacturing clouds, including the following:
“Prior to deploying cloud technology, manufacturers should formally train employees how to mitigate the security risks specific to the new technology to make sure sensitive and confidential information is protected. Equally important is implementing a strong governance framework. Manufacturers must gather information from providers and from their own systems, and monitor for security events and compliance with accepted best-practice and specific regulation/standards where appropriate. Check that your providers are fulfilling their SLAs and contracted obligations. pLAN for how you'll respond to and remediate problems."
Full story at Industry Week
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.