The Cargo Cult of Google Tools






Building a Laser Moustrap




Down To Earth






Tom’s Take


Why I Won’t Be Getting Google Glass




I won’t be participating in generation one of Google Glass.


From Entry to Profit


Eye of the Beholder


Mind the Leash


Tom’s Take



Software Defined Cars


I think everything in the IT world has been tagged as “software defined” by this point. There’s software defined networking, software defined storage, the software defined data center, and so on. Given that the definitions of the things I just enumerated are very hard to nail down, it’s no surprise that many in the greater IT community just roll their eyes when they start hearing someone talk about SD.

I try to find ways to discuss advanced topics like this with people that may not understand what a hypervisor is or what a forwarding engine is really supposed to be doing. The analogies that I come up usually relate to everyday objects that are familiar to my readers. If I can frame the Internet as a highway and help people “get it,” then I’ve succeeded.

During one particularly interesting discussion, I started trying to relate SDN to the automobile. The car is a fairly stable platform that has been iterated upon many times in the 150 years that it has been around. We’ve seen steam-powered single seat models give way to 8+ passenger units capable of hauling tons of freight. It is a platform that is very much defined by the hardware. Engines and seating are the first things that spring to mind, but also wheels and cargo areas. The difference between a sports car and an SUV is very apparent due to hardware, much in the same way that a workgroup access switch only resembles a core data center switch in the most basic terms.

This got me to thinking: what would it take to software define a car? How could I radically change the thinking behind an automobile with software. At first, I thought about software programs running in the engine that assist the driver with things like fuel consumption or perhaps an on-demand traction and ride handling system. Those are great additional features for sure but they don’t really add anything to the base performance of a car beyond a few extra tweaks. Even the most advanced “programming” tools that are offered for performance specialists that allow for the careful optimization of transmission shifting patterns and fuel injector mixture recalibration don’t really fall into the software defined category. While those programs offer a way to configure the car in a manner different from the original intent they are difficult to operate and require a great deal of special knowledge to configure in the first place.

That’s when it hit me like a bolt out of the blue. We already have a software defined car. Google has been testing it for years. Only they call it a Driverless Car. Think about it in terms of our favorite topic of SDN. Google has taken the hardware that we are used to (the car) and replaced the control plane with a software construct (the robot steering mechanism). The software is capable of directing the forwarding of the hardware with no user intervention, as illustrated in this video:

That’s a pretty amazing feat when you think about it. Of course, programming a car to drive itself isn’t easy. There’s a ton of extra data that is generated as a car learns to drive itself that must be taken into account. In much the same way, the network is going to generate mountains of additional data that needs to be captured by some kind of sensor or management platform. That extra data represents the network feedback that allows you to do things like steer around obstacles, whether they be a deer in the road or a saturated uplink to a cloud provider.

In addition, the idea of a driverless software defined car is exciting because of the disruption that it represents. Once we don’t need a cockpit with a steering mechanism or access to propulsion mechanisms directly at our fingertips (or feet), we can go about breaking about the historical construction of a car and make it a more friendly concept. Why do I need to look forward when my car does all the work? Why can’t I twist the seats 90 degrees and facilitate conversation among passengers while the automation is occuring? Why can’t I put in an uplink to allow me to get work done or a phone to make calls now that my attention doesn’t need to be focused on the road? When the car is doing all the driving, there are a multitude of ideas that need to be reconsidered for how we design the automobile.

When I started bouncing this idea off of some people, Stephen Foskett (@SFoskett) mentioned to me that some people would take issue with my idea of a software defined car because it’s a self-contained, closed ecosystem. What about a software defined network that collects data and provides for greater visibility to the management layer? Doesn’t it need to be a larger system in order to really take advantage of software definition? That’s the beauty of the software defined piece. Once we have a vehicle generating large amounts of actionable data, we can now collect that and do something with it. Google has traffic data in their Maps application. What if that data was being fed in real time by the cars themselves? What if the car could automatically recognize traffic congestion and reroute on the fly instead of merely suggesting that the driver take an alternate path? What if we could load balance our highway system efficiently because the car is getting real time data about conditions. Now Google has the capability to use their software defined endpoints to reconfigure as needed.

What if that same car could automatically sense that you were driving to the airport and check you into your flight based on arrival time without the need to intervene? How about inputting a destination, such as a restaurant or a sporting event and having the car instantly reserve a parking spot near the venue based on reports from cars already in the lot or from sensors that report the number of empty spots in a parking garage nearby? The possibilities are really limitless even in this first or second stage. The key is that we capture the generated data from the software pieces that we install on top of existing hardware. We never knew we could do this because the interface into the data never existed prior to creating a software layer that we could interact with.  When you look at what Google has already done with their recent acquisition of Waze, the social GPS and map application it does look like Google is starting down this path.  Why rely on drivers to update the Waze database when the cars can do it for you?

Tom’s Take

I have spent a very large portion of my IT career driving to and from customer sites. The idea of a driverless car is appealing, but it doesn’t really help me to just sit over in the passenger seat and watch a computer program do my old job. I still like driving long distances to a certain extent. I don’t want to lose that. It’s when I can start using the software layer to enable things that I never thought possible that I start realizing the potential. Rather than just looking as the driverless software defined car as a replacement for drivers, the key is to look at the potential that it unlocks to be more efficient and make me more productive on the road. That’s the key take away for us all. Those lessons can also be applied to the world of software defined networking/storage/data center as well. We just have to remember to look past the hype and marketing and realize what the future holds in store.

A Chrome-Plated Workout


The Good




The Bad




Tom’s Take
