Last month, we broke the news that Sun Microsystems is investing heavily in a cloud computing strategy. In a teleconference yesterday, Sun expanded on its plans … a little. I've included some bullet points of the key points.
I wrote last week about some of the analyst presentations at Gartner’s annual Data Center Conference, but Gartner’s sages weren’t the only ones talking cloud computing. One very interesting talk began with IBM’s Willy Chiu, vice president of High Performance on Demand Solutions, and concluded with Robert Rosier, founder and CEO of IBM Blue Cloud customer iTricity.
Now, I respect Gartner as much as the next guy, but it has to stop scheduling Data Center Conference keynotes at 8 a.m. I was unable to make it to the MGM Grand that early – even to hear about cloud computing and disruptive datacenter technologies. (Shocking!) Luckily, I’ve got slides.
Every now and then -- especially in the cloud computing market -- you come across a company who seems to have something really unique going on. Such is the case with Arjuna, whose software, business model and experience suggest it could have a bright future in the cloud.
As it has done so many times before, IBM might have drawn up the perfect strategy for making money in cloud computing. Instead of simply selling infrastructure or software as services, Big Blue also will be offering consulting and implementation advice, and will brand others’ clouds with the IBM-approved “Resilient Cloud” logo.
Cloud computing and high-performance computing: strange bedfellows, perhaps, but there is a connection. As supercomputers and high-performance commercial datacenters grow increasingly power-hungry, so, too, do HPC cloud offerings -- particularly on on Amazon's EC2.
A Look Inside CA's Cloud Computing/Virtualization Push
Post Date: November 17, 2008 @ 1:24 PM, Pacific Standard Time
Blog: The Essence of 'On-Demand'
It’s funny how life works inside large software companies. For example, when CA decided to get aggressive around virtualization management, people were surprised with the capabilities that had been developed across the product portfolio.
So, I had a conversation with a “cloud evangelist” at Sun Microsystems, during which I noted his reference to Network.com in the past tense. That’s right, the service is no longer available (except for existing customers). Oh, and did I mention the cloud imagery in the background? Hmm …
Derivix yesterday announced its cloud-based risk management application. If trading applications can run successfully in the cloud (assuming this product does what is expected of it), why not just about everything else?
I don’t think I’m forcing an analogy by comparing yesterday’s historic election to the current shift toward on-demand computing models. Both can be viewed as referendums on past practices that have left constituents in dicey situations, and both will take some time to bear the promised fruit.
Keeping tabs on the trends making IT more agile and more efficient, from automation to virtualization.
Derrick Harris is the Editor of On-Demand Enterprise
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.
Jun 17, 2013 |
With that in mind, Datapipe hopes to establish themselves as a green-savvy HPC cloud provider with their recently announced Stratosphere platform. Datapipe markets Stratosphere as a green HPC cloud service and in doing so partnering with Verne Global and their Icelandic datacenter, which is known for its propensity in green computing.
Jun 12, 2013 |
Cloud computing is gaining ground in utilization by mid-sized institutions who are looking to expand their experimental high performance computing resources. As such, IBM released what they call Redbooks, in part to assist institutions’ movement of high performance computing applications to the cloud.
Jun 06, 2013 |
The San Diego Supercomputer Center launched a public cloud system for universities in the area designed specifically to run on commodity hardware with high performance solid-state drives. The center, which currently holds 5.5 PB of raw storage, is open to educational and research users in the University of California.
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.