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Putting Edge Computing Behind the Wheel

While still in the early stages of development, many predict that we could see self-driving cars hit the road as early as 2020. Autonomous cars will require no human operator behind the wheel, powering the manual decision-making component of driving as we have previously known. Imagine the catastrophe that would occur if a self-driving car relied on a centralized cloud, unable to make a costly split-second decision because that information had not yet reached the vehicle. Latency-intolerant technological advancements require edge computing to make such critical snap decisions, pushing data processing closer toward the edge and away from cloud computation.

In our previous volumes, we briefly touched on how driverless cars utilize edge computing to function safely. How exactly will edge computing drive autonomous vehicles and what will that mean for the market growth?

How it is predicted to work

Road conditions can change at a moment’s notice, and it is crucial that accurate information reaches the vehicle as quickly as possible to avoid collisions. Edge computing plays an important role in data processing for such situations, a key way to ensure the safety of a trip in a driverless car. It is predicted that tiny smaller server edge networks distributed widely across the landscape will be necessary in quickly transmitting traffic changes or weather-related information. Driverless cars are expected to be made up of a network of hundreds of sensors that will process this data quickly, allowing the vehicle to recognize changes in the surrounding environment and make the necessary adjustments.

Edge Computing Market Growth

The recognition edge computing has already gained from the need for faster data retrieval will lead to exponential growth in the coming years, to an estimated market value of $7.96 billion by 2021. While the need for a centralized cloud will still remain to fill information storage needs, data center giants are recognizing the need to adapt towards this trend, to stay competitive by offering services that push data processing closer to the edge to reduce latency. This competition will not only grow the market financially, but lead to innovative data processing technology that will continue to evolve the data center industry.

For more information on how autonomous cars and future technological advancements utilize edge computing, please contact our team today.