Planning and design in today’s hybrid world of physical and virtual resources necessitate knowledge and time investment which is a tool for Telecom network planning and optimization. It is necessary to have a thorough grasp of the proposed service, from its breakdown to the logical and physical resources required to meet capacity forecast and network bottleneck requirements.
The application of Decision Optimization to Network Design is extremely prevalent. It assists businesses in a variety of industries with the design of their operational networks, from retail supply chains to water and energy providers’ physical networks. A frequent requirement is to select a subset of nodes from a pool of candidates. It’s possible that you wish to open a few new distribution facilities, and you have a few options. Which one(s) should I open first? The fixed and variable expenses differ depending on the location. The distances between these places and, on the one hand, the plants and/or providers, and, on the other hand, the consumers and/or shops, will have a considerable impact on transportation costs.
Network performance can be measured in two ways: passive and active. Passive measurement technologies capture performance data metrics from applications that are already on the network. Because it focuses on genuine apps, it provides a realistic picture of real-time conditions. There is also no risk of network disruption because no additional traffic is present. Active measuring technologies generate data that is specific to a certain baseline. Because this will result in more traffic, it must be scheduled at the proper times.
The term “network optimization” refers to a collection of best practises for enhancing network performance. Global load balancing, reduce latency, packet loss monitoring, and bandwidth management are just a few of the tools and techniques that may be used to monitor and optimise network performance.