August 15, 2012
LONDON, Aug. 15 — The question on CIO's lips "is cloud computing more or less energy-consuming compared with the typical local data center a company owns and uses?" What actually is the green disparity in purchasing services from a multitude of cloud providers compared with amalgamating the enterprises servers and applications in a private cloud maintained behind the organisation's firewall?
Understandably the chief concerns about cloud computing providers have thus far been concentrated toward "security, service reliability, vendor lock-in and lack of a clear business case", notes Linda Tucci, news director at CIO Matters. The green aspect is not even a blip on the radar.
The findings of a study commissioned by the Carbon Disclosure Project, CDP are disclosed below. The results show that by 2020, by spending 69% of their infrastructure, platform and software budgets on cloud services, U.S. companies with a revenue of $1 billion or more would reap energy savings of $12.3 billion and carbon reductions equivalent to 200 million barrels of oil – enough to power 5.7 million cars for one year. Migrating one HR application to the public cloud could save one of these companies $12 million over five years and cut CO2 emissions by 30,000 metric tons.
Google recently published energy savings for the public cloud provider Google Apps. These findings state that a migration to Google Apps can directly reduce energy for servers by 70-90%, reduce energy for server cooling by 70-90%, at a small cost of increasing energy 2-3% from the use of Google servers and more network traffic.
Google comments that SMEs and companies that migrate more of their organisation to the public cloud will save more than the averages set out above. These statements are backed up by the U.S. General Services Administration (GSA)'s case study.
According to Greenpeace Google [and Yahoo] are leading the way in prioritizing access to renewable energy in their cloud expansion. Google has entered into two significant separate 20-year power purchase agreements (PPA) in the U.S. An excellent example of an IT company directly purchasing renewable energy that has enough capacity to power its massive data centers. Google has also created a subsidiary, Google Energy, which allows it to directly buy and sell federally regulated wholesale electricity. This offers Google greater flexibility and allows the IT giant to sell excess back to the grid.
How much does the greenness of cloud computing concern the companies that are considering migrating? According too Paul Stemmler, managing director of engineering and integration at Citigroup believes "Carbon reduction is one driver, but not the primary driver". The industry has however, seen efforts to 'green up' data centers and cut consumption – especially at the larger cloud and social networking facilities, even if green isn't at the top of IT strategy agendas.
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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.
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
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.