What are the differences between backpressure and flow control?
An example of an AI chatbot conversation about backpressure vs flow control in data transmission.
What are the differences between backpressure and flow control?
Backpressure is a mechanism to slow down data transmission when the receiver is overwhelmed, while flow control manages the rate of data transmission to prevent overflow.
Can you give me an example of backpressure in action?
Sure! In a streaming service, if the server sends data too quickly and the client can't process it, backpressure signals the server to pause sending until the client is ready.
How does flow control work in TCP?
In TCP, flow control uses a sliding window mechanism to ensure that the sender does not overwhelm the receiver by sending more data than it can handle.
Are there any scenarios where one is preferred over the other?
Yes, backpressure is often preferred in real-time systems where immediate feedback is crucial, while flow control is used in scenarios where data transmission rates need to be managed over time.
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