[Feature Request] Actions after upload limit trigger

[Gaojianli]

问题描述 - Issue Description

Feature Request: Implement a functionality to throttle the downloader when daily upload traffic reaches the limit

额外信息 - Addition Information

F.1 Use a Sliding Window to Monitor Upload Traffic with Configurable Window Size and Upload Limit

Implement a sliding window approach to track upload traffic, allowing for configurable window size and upload limit. This prevents hitting the daily limit too early during peak periods and getting blocked from uploading for the rest of the day.

Example: For an upload limit of 10GB and a window size of 24 hours, the timeline would look like this:

• +0h: No limit, 2GB uploaded
• +1h: No limit, 8GB uploaded
• +2h: Upload throttled
• +24h: Upload throttled
• +25h: No limit, 2.5GB uploaded
• +26h: Throttled
• +27h: No limit, 7.5GB uploaded
• +28h: Throttled

The behavior after +26h is identical.

F.2 Throttle Strategy

Adopt an AIMD strategy for throttling and unthrottling with four parameters:

• $l$ -threshold
• $s_{min}$ - minium speed
• $s_{max}$ - maximum speed
• $a$ - increase factor
• $b$ - decrease factor

Throttle Strategy: For each monitoring period, if the upload reaches the threshold, the current speed is set as follows:

$$ s = \begin{cases} s_{min},\quad s \leq s_{min} \\ \frac{s}{b},\quad s> s_{min} \end{cases} $$

Unthrottle Strategy: Once the upload does not reach the threshold, the current speed is set as follows:

$$ s = \begin{cases} s_{max},\quad s >= s_{max} \\ s+a,\quad s< s_{max} \end{cases} $$

As you can see, the factor $a$ and $b$ can be calculated based on the time window and speed limit:

$$ a = \frac{l-l_{current}}{w} $$ $$ b = \frac{l_{current}}{l} $$

* $l_{current}$ is the cumulative value within the current window,

检查清单 - Check list

• 这不是一个错误 （BUG） (This is not an bug/error)
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[Ghost-chu]

线性代数挂科还没修呢，数学题饶了我吧