NYC Subways Embed BeOS
New York City has not been exempt from our nation's economy problems, and the financial powerhouse has been forced to cut corners that are making some officials uncomfortable. Of the 6400+ total cars on the rails, 82% are in need of computer tracking upgrades. The budget, however, will only cover half of the needed updates.
"We absolutely must upgrade the cars, but we can either afford the hardware OR the software. Not both", says Transit Authority spokeswoman, Martha Strivekio. "We considered putting Linux on our aging hardware, but there were so many choices, we couldn't settle on a distribution. So, we turned to BeOS. It offered us the speed and compatibility we so desperately needed, without the confusion that comes from so many choices."
The New York City Transit Authority managed to save many thousands of dollars by keeping their old hardware, and adopting BeOS as the operating system. MTA Subway Controller, Robert Comstock says it best, "With the new BeOS controlling software, our old hardware is fast and responsive again. We're gonna party like it's 1999!"
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Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi
It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?