Driven by Data: Autonomous Cars Will Change More Than Transportation
If you’ve shopped a new vehicle in the past few years, you’ve probably at least looked at the models that can parallel park themselves or brake automatically to avoid a crash. If you thought those features were impressive (or perhaps a little disconcerting), you haven’t seen anything yet. Get ready to take your hands off the wheel completely, as self-driving cars take over the roadways.
Unbeknownst to most people outside the industry, a futuristic freeway filled with autonomous, driverless vehicles is likely only a decade or two away. In fact, many companies have already built successful prototypes and are working on the supporting infrastructure. As anyone can imagine, the implications are huge because you will be able to safely watch TV or do some work during your morning commute. The rise of driverless cars could have a profound, transformative impact on society in general.
As much as autonomous vehicles will change our lives on the road, they will also create enormous new demands and opportunities in the technology world
Controlled by sensors and software that instantly process realms of data from many different inputs, self-driving cars are expected to remove human error from the motoring experience. Riding in a car will become much safer, because machines don’t get distracted, or sleepy, or drunk, or hurried, or consumed by road rage. Their remarkable efficiency will also ease traffic congestion, alleviate parking woes (cars will valet themselves), and dramatically cut down on pollution. Thinking longer-term, some pundits predict that personally owned vehicles will eventually become passé (at least in cities), as an ever-circulating fleet of inexpensive driverless taxis takes people everywhere they need to go. This is to say nothing of the impact on commercial transportation, which will be similarly streamlined to save billions of dollars in shipping costs.
As much as autonomous vehicles will change our lives on the road, they will also create enormous new demands and opportunities in the technology world.
From Gearheads to Geeks
Amid the fanfare surrounding vehicles without steering wheels, it’s easy to lose sight of what makes all of this possible. It has less to do with assembly lines or greasy garages, and more to do with the technological explosion that has spawned the Internet of Things, big data analytics and cloud computing. Driverless cars work through a combination of “always on” sensors such as cameras, lasers and radar; GPS and maps (not so different from today’s navigation systems); and high-powered data processing capabilities that allow the vehicle to make sense of everything it “sees” and take immediate action in the form of turning, braking or accelerating. Equally important is the fact that every driverless car–as well as the public and private infrastructure to support this new mode of transportation–will be constantly connected to the cloud, transmitting and downloading passenger commands, performance statistics, traffic and weather conditions, map updates, etc.
This endless information exchange will create mountains upon mountains of data to be conveyed, stored and processed. And as driverless cars become as common as smartphones, keeping up with the deluge of transportation-related data will be the next big challenge for the data centers of the future.
Data Centers Must Adapt
Data centers could be considered an industry unto themselves, comprising the hardware, software and services that make possible the digitally connected society we enjoy today. Data centers are already in catch-up mode, however, dealing with the exponential data growth brought on by ubiquitous smartphone use, social media, streaming video services, digital business transformation and the growing Internet of Things. The proliferation of autonomous vehicles will raise the stakes yet again, and the companies who supply, operate and utilize data centers will need to shift their strategies into high gear. For example:
- Data centers will need enormous storage and computational capabilities. Clearly, the huge amount of data brought on by self-driving cars will pose new challenges. Legacy storage systems won’t have the capacity to shoulder the load, leading to an increasing reliance on cloud storage services that offer near-unlimited flexibility and scalability. Moreover, processing and deriving value from the flood of raw data will require more powerful analytics engines that aren’t typical of today’s data centers.
- Data Center Interconnect (DCI) must improve. In driverless cars, passengers’ lives may literally depend on bandwidth. The budding auto-tech industry must figure out how to continually transmit rushing rivers of data to and from vehicles in near real-time, lest a critical bit of information be missed and lead to dangerous situations on the road.
- Colocation and edge computing will increase. An extremely “fat pipe” to the data center will be important, but to truly enable a latency-free driverless world, data storage and processing capabilities should also be pushed outward, closer to the cars themselves. Rather than building new private data centers, for example, co-locating equipment in data centers across the country may be a more realistic solution. Beyond relying on instant access to data centers, autonomous vehicles will need to do more on their own, using locally sourced information and onboard computational power to make complex decisions quickly. The emerging concepts of edge computing will help make this possible.
- Data center management must evolve. In a world where a data center failure could cause a ten-car pileup, every aspect of the operation will need to be upgraded. For starters, physical and cyber security will need to be next-to-impenetrable. As data centers consume increasingly massive amounts of electricity, they will need to find ways to conserve energy, and even generate their own to ensure continuity when the power grid fails. Furthermore, data center automation will play a much larger role, using sophisticated software to monitor, control and correct without human intervention.
The sooner we in the technology field start putting these foundational pieces in place, the sooner we can stop white-knuckling through traffic, kick back and catch up with blogs like this one on the way to work.