Technical Networking Army

  Essence: When traffic is above 70% it’s congestion and performance degradation, need to increase capacity. To achieve this adding more links to the existing Link Aggregation Group (LAG) increases bandwidth, distributes traffic better and ensures network stability. This prevents bottlenecks, optimize resource utilization and redundancy, reduces the risk of service disruptions. Expanding LAG allows scaling without downtime, so it’s a must have for handling growing network demands and high traffic environments. Link Aggregation in Capacity Planning  Link Aggregation (LAG) is part of capacity planning by combining multiple physical links into one logical link to increase bandwidth, redundancy and overall network performance. This prevents congestion by distributing traffic across multiple links, ensures optimal resource utilization. In capacity planning LAG allows network engineers to scale bandwidth without additional infrastructure changes, so it’s cost effective. Also, it p...

   Introduction :- Predicting router interface traffic in modern network management is critical to achieve optimal network performance, resource allocation, and proactively eliminate bottlenecks. This case study suggests using machine learning on network datasets to develop a model that predicts an actual router’s interface traffic versus an ideal router’s traffic. By evaluating historical data of network traffic and utilizing well-established machine learning API-based algorithms like Neural Networks, Decision Trees, and Ensemble Methods, this analysis reviews the formation possibilities of a strong prediction model with grand accuracy. At the end of the study, this paper reviews multiple factors and features related to the traffic in the interface such as the hour in the day, the day’s sequence in the week, the network protocol, the application, and the structure of the network. Additionally, it explores the machine learning algorithms to compare the accuracy of the ML model...