May 16, 2011
Although it might not just focus on cloud computing alone, we wanted to draw your attention to a rather stunning infographic that emerged from data center sustainability company, ABB.
When it comes down to it, the statistics below are more tied to cloud computing than it might seem. After all, this year alone there will be approximately 5.7 million servers installed to do the job of serving web applications. As that market continues to grow exponentially, creating a need for “cloud” data centers (those built specifically for handling the needs of remote web versus enterprise computing), figures like these will keep finding their way into mass circulation.
The problem is, we all know that every tweet, Facebook post or email wastes x amount of energy, but since the Internet is pervasive—a “can’t live without” technology akin to electricity itself, there must be more powerful innovations in the realm of green data center design—the question is: how we do we get there at the data center level?
Much of what you see above is demonstrative of some of the massive waste inherent to modern data center design. Of course, remember that the ABB group is a power and automation company that is focused on reducing data center footprints.
While they have a direct stake in presenting this kind of information, being reminded of figures like the ones below in particular are worth keeping in mind:
Data centers worldwide use around 80 million megawatt-hours of energy each year, which is just about 1.5 times the amount used by all of New York city in the same time frame.
When it comes to the 5.7 million new servers dedicated to delivering web services, only 10% of these are used due to overly conservative capacity planning.
Full story at ABB
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.