March 16, 2011
This week cloud watcher John Treadway made the argument that the increasingly pervasive Atom and ARM chips are becoming the “ants” of the data center. The analogy is no stretch--ants accomplish great things via sheer numbers versus lone horsepower and are incredibly strong despite their small size.
In his view we are embarking on a new era for datacenters in which these metaphorical “ants will reign supreme and carry on their backs an unimaginably larger cloud than we had ever anticipated. Combined with hyper-efficient cloud operating models, information technology is about to experience a capacity and value-enablement explosion of Cambrian proportions.”
Treadway provides a rich analysis of this “Fast Arrays of Wimpy Nodes” (FAWN) concept and where some companies are heading with this model.
At the forefront of this (re)volution in data center design is SeaMicro, which just released its next-gen SM10000-64, which is based on a dual-core 1.66 GHz 64-bit Atom chip that Intel crafted just for SeaMicro. While others are tackling the same challenges through the low-power army approach on the ARM front (Calxeda, for example), Treadway sees SeaMicro as the leader on the Atom front.
Not only will the range of devices for ARM and Atoms expand in general (from smartphones to tablets) but the ultra-low power/high number combo will start making a definite presence in datacenters in the coming years. This, in turn, might alter the development of application architectures and furthermore, as Treadway predicts, the model could “eliminate the use of virtualization in a majority of public cloud capacity by 2018.”
Outside of the public clouds, he sees this same trend unfolding in the extended timeframe for the enterprise, but it will take a bit longer.
“The SeaMicro approach represents the first truly new approach to data center architectures since the introduction of blades over a decade ago. You could argue—and I believe you’d be right—that low-power super-dense server clusters are a far more significant and disruptive innovation than blades ever were.”
Full story at CloudBzz
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.