Emerging Trends in Computer Networks
Published by Nitesh Sonawane, Samruddhi Zaware, Sanika Diveker, Sanket Jadhav, Tejas Pacharne
In today’s digital world, network communication technology is everything. As we enter 2021, many trends and technology are ready to create real change in the world of communication.
These are the top 5 network trends for 2021:
Networking Will Be More Automatic
Over a few years, communications vendors launched automated platforms to make networks easier. In 2020, We see automation in outstanding ways of managing advanced networks. While home automation is still very popular on the Reddit threads and blogosphere.
We see network deployment with a single click of WAN, campus, and data center, like public cloud providers. Engineers will need to develop that knowledge with a proper understanding of automation tools.
Next-Generation Wireless Technology: 5G and 6G
Without a doubt, the most significant networking technology breakthrough of the 2020s will be the implementation of next-generation wireless networks, which will be all around us very soon. These new cellular networks will unlock the actual potential of things like augmented reality and the Internet of Things, as well as push us closer to a society filled with “smart everything.” The theoretical top speed of 5G technology is 20 Gbps, whereas 4G only offers a peak speed of 1 Gbps.
The wireless revolution will be spearheaded indoors. The soon-to-be-mainstream 802.11ax (better known as Wi-Fi 6) standard, which is currently making its way into devices, will be available in the second half of 2020. It will not only triple the theoretical maximum throughput of its predecessor, but it will also provide superior indoor signal penetration and support a higher device density. The impact of Wi-Fi 6 can’t be emphasized in a world where every electrical item is gaining networking capabilities.
AI and ML Will Lead to Autonomous Networks
Creating fully autonomous networks for communications service providers (CSPs) will be a long process of incrementally automating processes, services, domains, and eventually networks, then protecting and controlling them with artificial intelligence (AI) and machine learning. This will enable operators to do more than just compete; it will also provide them with the agility they require to reclaim enterprise customers, many of whom have switched to digital-native suppliers for cloud-based services.
Analytics solutions based on machine learning and artificial intelligence will improve and become more powerful by 2020. Rather than being yet another administration platform that no one uses, they will be integrated directly into networking platforms.
What is CloudOps?
The management, delivery, and consumption of software in a computer environment with limited insight into an app’s underlying infrastructure is known as cloud operations (CloudOps).
The following are typical tasks of a CloudOps team:
- Management of configuration
- Allocation of resources
- performance capacity optimization
- Compliance burden management
- Service-level agreement ensurement