Networks are under pressure, and they need a hand.
On the one hand, they need to contend with growing subscriber demands. On the other hand, networks need to be ready to address new technologies like 5G and the IoT. And on the third hand, traditional operators like the cablecos and the telcos need to use their networks to compete with the likes of Amazon, Facebook (News - Alert), and Google, which already have launched – and continue to expand and improve upon – new web-scale networks.
That’s a pressure – and a lot of hands. But it’s not as many hands as it would take to manage the kind of network that’s needed to address all these demands.
Indeed, the volume of traffic, variety of applications and endpoints, new backhaul requirements, security concerns, and demand for expedited and more flexible connectivity all require a new kind of network. That network needs to be intelligent, automated, and able to address the dynamism of applications, customer requirements, and the current state of the network itself.
Many in the communications space refer to this kind of thing as an adaptive network.
Adaptive networks are based on programmable infrastructure. They leverage analytics to understand what’s going on now and over time.
They can use that intelligence, and policy and programmability, to automate certain things. For example, adaptive networks can do resource discovery, configure devices, provision service, and seek out anomalies. That can allow service providers to expedite the delivery of services and to move more quickly to spot, pinpoint, and address security concerns.
Adaptive networks also help operators better deal with unpredictability, use network resources more efficiently, and scale on demand. Plus they can support differentiated quality of service. That’s because these networks can be programmed to recognize the variable needs and authorizations of different applications, customers, and services – and serve up the appropriate resources at the right time. They can ensure traffic is routed over the best path based on business policy and real-time network conditions.
All that means operators can control their costs while innovating and addressing market needs. That way, they will be better positioned to continue to compete in the marketplace.
In related news, media company (and publisher of this story) Technology Marketing Corp. early next year will be holding an event focused entirely on this topic. The Adaptive and Intent-Based Networking Expo will take place Jan. 30-Feb. 1 in Fort Lauderdale, Fla.
This event was designed with the needs of BI analysts, architects, and developers; change management leaders; C-level executives; collaboration leaders; cybersecurity experts; data engineers and scientists; database architects; design professionals; developers; digital transformation leaders; internetworking experts; IoT designers and engineers; IT infrastructure and network engineers and architects; IT team members; machine learning designers, developers, and engineers; network professionals, specialists, and systems admins; programmers; systems analysts; and transformation consultants and leaders in mind.
Adaptive and Intent-Based Networking Expo sessions and exhibitors will address how and why to use AI and ML to automate network operations, help businesses and carriers address the data deluge, address network scalability, secure networks and applications, and innovate.
Edited by Maurice Nagle