Automation & Programmability
Automation & Programmability
The Self-Driving Network™: It Has No Blind Spots
02.23.17

This is part III in our multi-part blog series on the Self-Driving Network™. Find part II here. And for more information on the Self-Driving Network visit our landing page.

 

Software-defined networking (SDN) and network functions virtualization (NFV) have kept us very busy for the last five years, and while these technologies are indeed critical elements of the network today and the future, we feel as if we need a sharper and more complete vision. In, The Self-Driving Network Part I: A Bolder Vision for the Industry we tackle this ambitious goal. As an industry, we have been too timid. As self-driving cars will free drivers to work, sleep, and play, the Self-Driving Network will liberate operators to apply their resources to higher value activities. Networks will be better defended, more reliable and resilient, and easier to manage. The network will become an even greater part of our lives. Billions of connected devices? Why not trillions? Always on? Why not pervasive, persistent, automatic?

 

As Kireeti Kompella, the CTO of our JDI organization, began to think through how we are going to make this future a reality he actually start by exploring the evolution of the automobile. Not much happened in the first 120 years after Karl Benz developed the first gasoline-powered production car. But recently developed self-driving vehicles have been a disruptive innovation. Juniper is not satisfied with the incremental improvements our industry makes year after year in networking: we need disruptive change.

 

In his book, Thank You for Being Late: An Optimist's Guide to Thriving in the Age of Accelerations, Thomas Friedman noted that a Google staffer remarked that the self-driving car they were riding in at the time had “no blind spots.” The Self-Driving Network, too, will have no blind spots. Deep, real-time telemetry will reach every piece of the network and illuminate patterns and insights for operators. Machine learning and declarative intent will increasingly replace static programming techniques and local views will integrate with global network intelligence to optimize the user experience. It will self-fill in the blank. . . self-discover, self-configure, self-monitor, self-detect, self-defend, self-correct, etc.

 

 Spotlight problems before they affect the user experienceSpotlight problems before they affect the user experience

Please check this space in the couple of weeks for part II of our vision paper, The Self-Driving Network: Appetite for Disruption.

08.24.17
Khaled Taha
Mass Digital Disruption is re-creating a completely new life. AI is playing a major role in the reformation. I was quite lucky to live & work on setting up thd eatly Internet Servers in 90s, then building the first Internet calls on Mobile 1999 along to 4G Mobile Networks. The question was always, How can we utilize these Network?
Searching for Traffic, I have moved to Media & content industry in 2006 where I was lucky again to experience the IP & Interent Disruption to Traditional Media.
Now, we are at the starting edge to build a new " Digital Life" with various dimensions not only in self-driving, self-thinking, but could be self growing Human-Machine digi-life.
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