Network congestion control method

Abstract

The invention provides a network congestion control method. The method comprises the steps of setting a token bucket in a buffer area before a sending end sends streaming data, sending a credit request to a receiving end, receiving a credit packet sent by the receiving end, increasing the capacity of the token bucket in the buffer area according to the credit packet, and sending data when the sizeof a to-be-sent data packet is smaller than the capacity of the token bucket; enabling the receiving end to receive the credit request sent by the sending end and send a credit packet to the sendingend; receiving a data stream sent by a sending end; and enabling the switch end to selectively discard the credit packets according to the link capacity limit, and perform ECN marking on the credit packets which are not discarded according to the proportion of the discarded credit packets. Compared with the prior art, the technical scheme provided by the invention has the advantages that the credit data packet schedules 1538 tokens instead of one data packet; credit waste during data packet scheduling can be avoided, and the credit rate control mechanism based on the ECN can effectively calculate the credit loss rate compared with credit-based feedback control of ExpresssPass.

Description

technical field [0001] The invention relates to the field of network communication, in particular to a network congestion control method based on data center credit. Background technique [0002] The infrastructure of data center networks (DCNs) is rapidly evolving, including link speeds, network interface card (NIC) performance, and switch capabilities. However, network users and traffic are also growing, which inevitably leads to network congestion. Severe congestion may cause a sharp drop in network performance, thus requiring an effective congestion control scheme. [0003] At present, many congestion control strategies for controlling network congestion have been proposed, and they can be divided into reactive congestion control and active congestion control. Reactive congestion control aims to control what happens after congestion has occurred. Reactive congestion control typically requires at least one round-trip time (RTT) to cope with congestion and many RTTs to ...

AI Technical Summary

Problems solved by technology

ExpressPass uses a rate limit of 5% on credits based on the size ratio of credit packets (84 bytes) and data packets (1538 bytes) based on the minimum and maximum Ethernet frame size respectively

However, since short flows (less than or equal to a few hundred bytes) are much smaller than normal packets, the rate-limiting mechanism reduces efficiency and then improves FCT significantly, especially in workloads where the majority of flows are small Down

Moreover, for tail packets with long traffic, there is also such a problem

Since tail latency (99th percentile) is the most important metric for data center applications, existing designs are suboptimal for tail latency under high network load

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