August 16, 2011
A recent video from Microsoft highlighted how the software giant’s datacenter strategies have changed in the era of cloud computing and provides a look inside some of its 10-football field-sized behemoths to its modular datacenter approach that is being used to power a large number of web services.
In an attempt to answer the question of “where is Microsoft’s cloud” the video takes the viewer through a short history of the company’s datacenters and provides a sense of the backup and redundancy features as well as the obligatory extended explanations of power efficiency.
While the beginning of the video is mostly a sales presentation to reassure non-technical cloud customers that Microsoft has massive layers of redundancy in place, the second half is well worth the wait as it offers some great views of the inside of a few of its cloud datacenters.
The second part of the video provides some in-depth descriptions about power and cooling, the use of modular datacenters to reduce time to deployment and costs, and how they work to reduce latency.
Videos like these go a long way toward putting the cloud in perspective. In other words, for many enterprise execs hearing all about how cloud computing can save their business and bottom line, this is a tangible sense clouds from the hardware perspective.
One could argue that other IaaS companies would be well-served by putting their clouds in context for the curious—and for the suspicious who know that “cloud” is floating around somewhere but never quite materializes as something useful.
Full story at YouTube
Researchers from the Suddhananda Engineering and Research Centre in Bhubaneswar, India developed a job scheduling system, which they call Service Level Agreement (SLA) scheduling, that is meant to achieve acceptable methods of resource provisioning similar to that of potential in-house systems. They combined that with an on-demand resource provisioner to ensure utilization optimization of virtual machines.
Experimental scientific HPC applications are continually being moved to the cloud, as covered here in several capacities over the last couple of weeks. Included in that rundown, Co-founder and CEO of CloudSigma Robert Jenkins penned an article for HPC in the Cloud where he discussed the emergence of cloud technologies to supplement research capabilities of big scientific initiatives like CERN and ESA (the European Space Agency)...
When considering moving excess or experimental HPC applications to a cloud environment, there will always be obstacles. Were that not the case, the cost effectiveness of cloud-based HPC would rule the high performance landscape. Jonathan Stewart Ward and Adam Barker of the University of St. Andrews produced an intriguing report on the state of cloud computing, paying a significant amount of attention to the problems facing cloud computing.
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.