I know what you're thinking: Is there any more information about financial firms and outsourcing that wasn't included in Derrick's epic-length article from earlier this week? The answer: Yes (but just a little).
Oracle Stakes Cloud, XTP Ground; IT Didn't Fail Wall Street
Post Date: September 24, 2008 @ 12:34 PM, Pacific Daylight Time
Blog: The Essence of 'On-Demand'
I must say, I am impressed with some of the news coming out of Oracle OpenWorld. Specfically, two of Oracle's myriad announcements yesterday caught my eye: Oracle's foray into cloud computing and the availability of WebLogic Application Grid. Additonally, I've spoken with several individuals over the past week who say IT had precious little to do with last week's Wall Street debacle, and will do little to avoid similar situations in the future.
I'll keep it brief: RightScale's announcement from Wednesday is some very cool news. In case you missed it, the company will soon support GoGrid, FlexiScale, and, apparently, Mosso and CloudFS with its cloud management infrastructure. It turns out VMworld wasn't the only place churning out cloud innovations.
My day included more VMware than anticipated and less hosting than I hoped for, but that's alright. What I found out at the first day of VMworld is that VMware and its partners, like Cisco, are serious about the cloud, but that there are issues that must be addressed before VMware can offer the global, completely reliable cloud about which we've heard so much.
This Just In: Crosby Not Impressed with VMware Datacenter OS
Post Date: September 15, 2008 @ 2:49 PM, Pacific Daylight Time
Blog: The Essence of 'On-Demand'
So VMworld technically kicked off this morning, and I sat down with Citrix's virtualization and management CTO to talk about (what else?) the cloud. In particular, we discussed VMware's foray into cloud computing. If you're familiar with Crosby, it should come as no surprise that he isn't impressed.
We talk a lot about efficiency and reducing operational costs, but the discussion generally is focused on technologies like virtualization or, taking it several steps further, cloud and utility computing. But what about automation? Isn't automation a smaller-scale way to achieve the grand goals of concentrating valuable brainpower on the datacenter tasks that really need it and spending money on the business objectives that bring real benefit to the company?
Next week should tell us quite a bit about how the cloud computing ecosystem might look in the years to come -- at the hypervisor layer, at least. The reason for this, of course, is that VMworld is taking place in Las Vegas next week. Additionally, two analyst events with virtualization and cloud foci will be going on across the street.
Cloud Data Management Advances; Google Amends Copyright Clause
Post Date: September 08, 2008 @ 11:58 AM, Pacific Daylight Time
Blog: The Essence of 'On-Demand'
How has cloud data management evolved recently? Well, Xeround thinks its Intelligent Data Grid is a good fit, and 3Tera is offering the ability to migrate your data to specific datacenters across the globe -- on demand. And on an unrelated note, Google has backed off its copyright claim over content on Chrome.
People have referred to the Google Chrome browser as a cloud operating system, and that characterization seems accurate. However, it's not all roses: Google's quest to store your personal data -- and even to own content transmitted via Chrome -- is a little troubling to me. In fact, these concerns mirror those skeptics are asking about cloud computing, in general.
The whole ado around its failed trademark attempt aside (or perhaps because of it), you have to hand it to Dell. The company is making sure the world knows it's a player in the cloud market. I spoke with Dell about its "arms dealer" strategy some time ago, but now it appears Dell is showing even more of its hand.
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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.