TRAFFIC ANALYSIS AND OPTIMIZATION IN COMPUTER NETWORKS

Abstrak

The rapid growth of digital communication services has led to a significant increase in network traffic, making efficient traffic analysis and optimization a critical requirement in modern computer networks. Diverse applications, heterogeneous devices, and dynamic traffic patterns create challenges related to congestion, latency, and inefficient resource utilization. This paper examines fundamental approaches to network traffic analysis and explores optimization techniques aimed at improving overall network performance. Both traditional statistical methods and modern intelligent approaches are considered to evaluate their effectiveness in identifying traffic characteristics and managing network resources. The study highlights that accurate traffic analysis serves as the foundation for effective optimization strategies, enabling improved throughput, reduced delay, and enhanced quality of service. The findings emphasize the importance of adaptive and data-driven techniques for addressing the complexity of contemporary network environments.