I'm becoming more and more a fan of the "cloud" every day. I use it routinely (Dropbox) to work on projects at home and work. I save my work, go home, and there it is. I save a file and a colleague can open it almost instantly on his machine. However, just yesterday I was working with another colleague (that lives on the East Coast in a small town) and said "How's your internet connection?" to which he replied "Terrible, it's a pain just checking my email, at work and home". In this case the entire "cloud" becomes moot. So what if it's convenient if you can't transfer the data? How does a fast local machine help in this instance? This will be the biggest problem with all cloud services; if you can't transfer data the entire thing falls apart. The biggest proponents of the technology have very fast connections or even T1 and greater services available. This is not isolated either; there are many reports of how the ISP services still haven't rolled out high speed equipment to more rural areas (despite denying that they do this) and charge the same fees for "high speed". I know of one person that had their ISP confirm the system was bad; their response was to finally simply stop going out to his location. Until everyone has high speed connections, all the fancy, fast machines will mean absolutely nothing "in the cloud".
I may be alone here, but I'm guessing that I'm not. I have a fear that my design could be compromised and/or stolen if I leave it in the cloud. What measures are you taking to ensure the safety of my design? I know it's an old argument, but it's still valid.
Festo's BionicKangaroo combines pneumatic and electrical drive technology, plus very precise controls and condition monitoring. Like a real kangaroo, the BionicKangaroo robot harvests the kinetic energy of each takeoff and immediately uses it to power the next jump.
Design News and Digi-Key presents: Creating & Testing Your First RTOS Application Using MQX, a crash course that will look at defining a project, selecting a target processor, blocking code, defining tasks, completing code, and debugging.
Focus on Fundamentals consists of 45-minute on-line classes that cover a host of technologies. You learn without leaving the comfort of your desk. All classes are taught by subject-matter experts and all are archived. So if you can't attend live, attend at your convenience.