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a specific derivation process for R_AI #40

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BYyzt opened this issue Jun 12, 2023 · 3 comments
Open

a specific derivation process for R_AI #40

BYyzt opened this issue Jun 12, 2023 · 3 comments

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@BYyzt
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BYyzt commented Jun 12, 2023

Hello, I would like to inquire about the rate increment R_AI during the active increase process of the DCQCN algorithm.Is there a specific derivation process for R_AI , and what factors are related to the determination of this rate increment? Is there a specific expression? It doesn't seem to be mentioned in the article.

@bobzhuyb
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R_AI a trade-off between convergence speed and the oscillation around the convergence point. Oscillation sometimes impacts utilization. It's often tuned empirically.

@BYyzt
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BYyzt commented Jun 13, 2023

I would like to try to establish some connection between rate increment R_AI and queue congestion information, that rate increment R_AI becomes a function of queue congestion information. Can you provide some suggestions and guidance?Thanks.

@BYyzt
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BYyzt commented Jun 15, 2023

Hello, I am a bit confused about the rate change in the code. For example, how is the 8 in the following code determined? Is there a specific derivation? Looking forward to your reply

Void
QbbNetDevice:: AdjustRates (uint32_t fIndex, uint32_t hop, DataRate increase)

{If ((m rpByteStage [fIndex] [hop]=1) | (m rpTimeStage [fIndex] [hop]=1))&&(m targetRate [fIndex] [hop]>10 * m rateAll [fIndex] [hop])
M_ TargetRate [fIndex] [hop]/=8;

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