August 02, 2010
The Cloud Industry Forum (CIF) has recently concluded the final public consultation phase in its efforts to establish a code of practice for cloud service providers and end users. The goal of the project is help foster industry standards for vendors and to aid end users as they attempt to make critical decisions about such vendors. According to the body of over 200 participating organizations, which include IT consultancy firms and software vendors, the viability of cloud and increases in cloud adoption are dependent on the industry’s ability to communicate to end users that their services are secure and that there are accountability measures in place. As Andy Burton, CIF Chairman stated, “We firmly believe the markets needs a credible and certifiable code of practice that provides transparency so that consumers have clarity and confidence in their choice of a provider.”
There are currently a number of industry standards bodies that are working, often separately, to form their own governing and regulation boards to evaluate vendors and help consumers make informed decisions about the cloud, whether for enterprise or research use. While the CIF is one of many such groups, its contribution of a code of practice, which will be released in October, could further help assist organizations as they make decisions although it is not clear what punitive or governing measures vendors will need to abide by and whether or not this code of practice will be a list of suggestions or whether or not vendors will be ranked or graded according to their compliance with the standards the CIF states.
As cloud adoption grows, there are likely to be an increasing number of governing, standards, and evaluation-based groups that emerge. However, once the dust has settled, just as there will be an inevitable “thinning of the herd” among cloud vendors, so too might there be such a weeding process for cloud standardization and evaluation bodies. The defining variable will be transparency—in other words, if an advocacy group is moderated in large part by vendor versus consumer interest, it is not likely to hold its own when it comes against scrutiny when compared to more objective and consumer-focused groups.
Full story at ChannelWeb
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.