Latency and Throughput Optimization in Modern Networks: A Comprehensive Survey
arXiv:2009.03715v1
Originality Synthesis-oriented
AI Analysis
It provides a comprehensive overview for researchers and practitioners working on network optimization, but it is incremental as it synthesizes prior work without new results.
This paper surveys existing methods for reducing latency and increasing throughput in modern networks, covering various network types and control approaches.
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.