Eagle-Lanner tech blog
Organizations and enterprises are increasingly requiring an edge networking platform that not only prioritize end-user experience, holistically manage their WAN and LAN for automated management, and integrate high-level security features. AIOps (artificial intelligence for IT operations) are multi-layered technology platforms that automate and enhance IT operations through analytics, machine learning, and artificial intelligence – can handle these digital transformation issues.
Network operators have adopted network element management systems (NEMS) and network management systems (NMS) to ensure streamlined interoperability and information transmission across the complex multiple operating systems and telecommunication networks.
The introduction of Wi-Fi 6E represents a significant improvement over previous Wi-Fi generations and together with high-speed 5G networks will be able to meet all related data transmission needs. Both promising to deliver higher performance, lower latency and faster data rates, making them even more suitable to power video streaming, virtual reality, cloud computing, and IoT next-gen devices.
Fronthaul architecture configurations are able to balance the reliability, throughput, and latency demands of advanced applications on 5G networks. Fronthaul layered architecture, depending on the type of data handling needed, is distributed across the network between edge data centers and central data centers.
5G together with edge computing, has the ability to timely handle, process, and analyze large amount of data, which leverages the full potential of advanced technologies such as autonomous vehicles, and the Internet of Things (IoT). Autonomous vehicles will change the experience of riding in cars, making it more pleasant, less stressful and more productive.
In the past few years, electrical substations have become a primary target for cyberattacks. In fact, it is believed that power facilities are targets for modern cyber warfare.
A multiprocessing architecture called Non-Uniform Memory Access (NUMA) was introduced that simplified the complexity of the bus by configuring clusters and allow microprocessors to share memory locally, thus improving performance and expandability of the system.