Table of Contents
High-latency networks pose challenges for TCP throughput, affecting data transfer efficiency. Quantitative analysis helps understand these impacts and guides improvements in network performance.
Understanding TCP Throughput
TCP throughput refers to the rate at which data is successfully transmitted over a network connection. It is influenced by various factors, including latency, bandwidth, and congestion control mechanisms.
Impact of High Latency
High latency increases the time it takes for data packets to travel between sender and receiver. This delay can reduce TCP throughput because the sender waits longer for acknowledgments, slowing down data flow.
Quantitative Analysis Methods
Researchers use mathematical models and simulations to analyze TCP performance in high-latency environments. These methods evaluate how different parameters affect throughput and identify bottlenecks.
Factors Affecting Throughput
- Round-Trip Time (RTT): Longer RTT increases delay in acknowledgments.
- Window Size: Larger window sizes can improve throughput but may cause congestion.
- Congestion Control Algorithms: Different algorithms respond differently to high latency.
- Packet Loss: Losses trigger retransmissions, reducing effective throughput.