With increasing developments, the trends keep evolving with time. The opportunities are also directly proportional to the developments in the technologies. It is expected to roll out by end of 2019.
The Top 5 Cisco technologies which could possibly change the networking universe in 2019 are as follows :
WI -FI 6
Wi-Fi 6, also called 802.11ax, is an upgrade on the current highest-speed Wi-Fi protocol in wide use, 802.11ac. Wi-Fi 6 will get the new spectrum in 6 GHz Band in 2019 or 2020 for improved speed. It has the most effective and improved bands compared to the existing 2.4 GHz frequencies.This Wi-Fi 6 is router Wi-Fi wireless.
Major advantage with Wi-Fi 6 is its Wireless Density, that is it can coexist with multiple devices at a given vicinity which also means it has greater device density also increasing the speed of the connection simultaneously.
New standard improves performance by supporting deterministic packet scheduling which also increases the efficiency of the use of any given band, also improves the efficiency of the power utilization in mobile devices dramatically.
Office Net workers would find it more reliable and quicker to communicate in crowded offices. IoT device supporters can pack more low power devices into a space with limited access points. Wi – Fi 6 will eventually improve the experience of all the wireless users. It can also be used in Remote surgery devices making a breakthrough in the life safety applications because it is reliably deterministic and has great speed.
Consumers are awaiting to on board 5G technology in 2019, However the carriers roll out limited installations that work on small number of devices.
5G fixed wireless is the convenient alternate as a WAN connection for getting remote workforce online because it could possibly have the performance (high speed and low latency) to compete with wired connections.
When 5G rolls out, there will be new opportunities for the IoT applications. Also, the technology will make it into corporate local-area networks : A band which is basically an extension of licensed 5G Spectrum into a new, lightly- licensed band, CBRS (Citizens Broadband Radio Service). This will facilitate the corporate to have their private 5G data networks which would be a compelling solution for certain IoT installations.Sensors are expected to run on the batteries which will last for years together due to the 5G’s time slicing technologies.
The Wi-Fi 6 and the 5G technologies will over take and co-exist as the enterprise wireless networks. However effective management and planning is essential for the same. The technologies complement each other with appropriate network management tools evolve to handle them symbiotically.
High resolution Geo- location technologies based on wireless radios in Mobile devices, plus data mining software creates wide opportunities how people or targeted devices moves across physical spaces. For expanding business and improvements, companies can adopt this technology to get access about their users of their buildings. Business leaders and start-ups would be the most benefited.
They help in identifying areas in which wireless network is weak which would help the network managers. In Security department,Digitized spaces help analytics engines to notice unusual patterns of moments across wireless devices that could indicate physical beaches.
Specially any business with customers at its sites like as retail, education, medical, hospitality, customer details can be accessed for example if a life time member customer uses a special service benefit. Educators would be able to track patterns in teaching spaces
Main Data center would be place where the all the network traffic would converge. This centralized control, routing and security rule the Corporate Networks. The Businesses does not change the network architecture however it is constantly fragmented this is because widely the users rely on open Internet when they are out of company environment.
SD-WAN allows networks to route traffic based on centrally-managed roles and rules, no matter what the entry and exit points of the traffic is – and with full security. For example, if a user in a branch office is working on Office365, SD-WAN can route their traffic directly to the closest cloud data center for that app, improving network responsiveness for the user and lowering bandwidth costs for the business.
SD-WAN lowers bandwidth expenses and improves security and facilitates a level up in network management along with machine intelligence.
SD-WAN is the future technology ; however, it defines how the technological framing redefines itself. SD-WAN network traffic will grow by 500%, and our research shows that more than half of business customers who don’t currently use SD-WAN are going to make plans for its adoption.
Network Management requires various levels of micromanagement due to quickly changing conditions that are exclusive to each network. This needs high level of pattern recognition skills.
Artificial Intelligence, Machine Learning will be adopted by several organizations to analyse the telemetry coming off net works to see these patterns, to get ahead of issues from performance optimization, to financial efficiency, to security.
Anomalies in the network behavior that could possibly be missed is identified by pattern-matching capabilities of ML. The not so important alerts will be not be prioritized which will nag network operators. Networks will get to know themselves and be able to flag the appropriate issues with Effective Machine learning.
This also helps in classifying the devices and its user types which can help is create profiles for use cases as well as spot outlier activities that could indicate security incursions. The first application will give smart alerts in other words reporting the activities that break patterns. However, the technology will grow eventually to be proactive. Summary
2019 is going to be a trans-formative year in enterprise networking. Network operators will be preparing systems to support dramatically greater device density and data throughput, and they will be getting new analytics about their infrastructure use from the network itself. Meanwhile, network personnel will become more effective and efficient, thanks to improvements in centralized management tools and machine intelligence.