Latency and Throughput Optimization in Modern Networks: A Comprehensive Survey

TL;DR

This survey reviews various techniques for reducing latency and increasing throughput across wired, wireless, and advanced network environments, including application layer control, RDMA, and machine learning-based methods.

Contribution

It provides a comprehensive overview of recent advancements in network optimization techniques across diverse network types and control strategies.

Findings

Identifies key methods for latency reduction.

Highlights throughput enhancement strategies.

Discusses the impact of machine learning on network control.

Abstract

Modern applications are highly sensitive to communication delays and throughput. This paper surveys major attempts on reducing latency and increasing the throughput. These methods are surveyed on different networks and surroundings such as wired networks, wireless networks, application layer transport control, Remote Direct Memory Access, and machine learning based transport control.