Features of Reno TCP Congestion Control Algorithm
1. Slow Start
- Gradual growth within the congestion window size on the begin of a connection or after a period of state of no activity.
- Purpose: Allows the sender to probe the available bandwidth in a controlled way.
2. Congestion Avoidance
- Transition from sluggish start to congestion avoidance segment after accomplishing a threshold.
- Purpose: Maintains a truthful share of the community bandwidth even as heading off excessive congestion.
3. Fast Retransmit
- Detects packet loss through duplicate acknowledgments and triggers speedy retransmission.
- Purpose: Speeds up the recuperation method with the aid of retransmitting lost packets without looking ahead to a timeout.
4. Fast Recovery
- Enters a quick healing state after detecting packet loss, lowering congestion window and transitioning to congestion avoidance.
- Purpose: Accelerates healing from congestion by way of avoiding a complete go back to slow begin after packet loss.
5. AIMD (Additive Increase, Multiplicative Decrease)
- Adjusts the congestion window size based on network situations following the AIMD principle.
- Purpose: Provides a balanced approach by way of linearly growing the window all through congestion avoidance and halving it on packet loss.
TCP Congestion Control Algorithms: Reno, New Reno, BIC, CUBIC
TCP (Transmission Control Protocol) congestion control algorithms are important for dealing with network congestion and ensuring green information switches over the Internet. Several congestion control algorithms have been developed through the years to deal with specific aspects of community conduct. Here’s a top-level view of the noted algorithms: Reno, New Reno, BIC (Binary Increase Congestion), and CUBIC.