Features of BIC TCP Congestion Control Algorithm
1. Binary Search for Congestion Window
- BIC makes use of a binary seek method to find the most useful sending price.
- Purpose: The algorithm begins with an aggressive growth within the congestion window to fast probe the available bandwidth. If congestion is detected, it plays a binary search to converge to the optimal sending rate. This approach pursuits to locate the most sustainable sending price successfully.
2. Proportional Rate Reduction
- BIC employs a proportional rate reduction mechanism.
- Purpose: When congestion is detected, BIC reduces the sending charge in a proportional manner. This facilitates acquire fairness in bandwidth allocation and allows BIC to quickly converge to a solid sending rate.
3. Window Decrease after a Timeout
- BIC contains a window lower mechanism after a timeout.
- Purpose: In case of a timeout occasion (indicating a loss), BIC reduces the congestion window length to keep away from exacerbating congestion. This is a conservative degree to handle packet loss activities.
4. Aggressive Initial Window Increase
- BIC starts with an competitive boom inside the congestion window length.
- Purpose: The set of rules objectives to fast discover the available bandwidth through unexpectedly growing the sending price at the beginning of a connection.
5. Adaptive Rate Control
- BIC dynamically adjusts the sending charge based at the determined network conditions.
- Purpose: The set of rules adapts to various community conditions by means of adjusting the sending rate in reaction to congestion indicators, allowing for green usage of network assets.
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.