Yesterday, as expected, Google unveiled a cloud platform to compete with Amazon’s Elastic Compute Cloud service (EC2). It couldn’t come at a worse time for Amazon. On June 14, Amazon’s Web Services went down for several hours after a cooling fan failed, affecting a number of high-profile websites, including Pinterest, Quora, and HootSuite. Continue reading
It looks like some of the bloom is off the cloud computing rose. Last year’s Gartner hype cycle showed that cloud computing had entered the notorious “trough of disillusionment,” which emerging technologies enter when they fail to meet expectations and lose their appeal to the technology press. This is immediately preceded by the self-explanatory “peak of inflated expectations.” Continue reading
When Desktop Engineering surveyed its readers last year for our special issue on cloud computing, the biggest concern to moving engineering computing processes to the cloud was security.
Work is being done by the Vienna Center for Quantum Science and Technology (VCQ) at the University of Vienna and the Institute for Quantum Optics and Quantum Information (IQOQI) to protect computers from hackers. In this case, quantum physics have been applied to securing data in the cloud from snoops and thieves.
Those of us who grew up watching The Jetsons have long been asking the question: Where are the flying cars? While the multicopter is in prototype, it still doesn’t look like we’re going to be flying cars around any time soon, but based on the technology Ford Motor Company recently showed off in its Evos concept car, they may at least be heading to the cloud.
The Evos (which made its debut at the Frankfurt Motor Show over the summer) is an electric hybrid with gull-wing doors (like the old DeLorean) that is connected to the Internet and could be capable of enabling all sorts of useful new applications thanks to a combination of wireless connectivity and cloud computing services. It also incorporates drivetrain improvements and physical design tweaks that will slowly work their way into mainstream Ford designs over the next few years.
The car could access traffic and weather information, along with a copy of your work calendar in order to map out an efficient driving route, and even determine when you should wake up, then send a message to your alarm clock. It can automatically program your radio to play whatever you were listening to inside house or on your computer before you leave home. It can even send messages to the control systems in your house to turn down the thermostat or close the garage door. Continue reading
Multicore workstations are driving faster design engineering innovation, especially when clustered together as DE explained in its September 2011 cover story and accompanying white paper. A cluster with just 32 cores can have an amazing impact on productivity and allow engineers to create more design iterations.
So just imagine what building a cluster with 30,000 cores could do. That’s what Cycle Computing did using the Amazon EC2 cloud service. Was this some kind of ridiculous publicity stunt? No. Its Nekomata cluster was created for a top 5 pharmaceutical company to perform molecular modeling. It cost $1,279 an hour to operate, according to Cycle Computing.
The company has a great blog post about the challenges of creating such a massive cluster in the cloud. It is chock-full of technical details and ends with a look at the benefits this technology can bring to science and engineering.
While we are excited about the ability to scale clusters to larger and larger core counts and forging new frontiers in cloud computing, we are most excited about the possibilities we are creating by enabling scientists to spin up such large clusters with minimal effort to answer questions that they would never have considered asking a year ago because they didn’t have access to resources that could answer those questions. — Compute Cycles blog
Source: Compute Cycles