System flow limiting method and device, electronic equipment, medium and program product

Abstract

The invention provides a system flow limiting method, and the method comprises the following steps: obtaining performance data of each server node in a distributed system, wherein the performance data is used for representing a resource occupancy rate of the server node; acquiring a current limiting parameter of each server node, wherein the current limiting parameter is used for limiting the number of tokens put into a token bucket of the server node; based on the performance data of each server node, adjusting a current limiting parameter of at least one server node, so that the number of tokens in a token bucket placed in the at least one server node is matched with the resource occupancy rate of the at least one server node. The invention further provides a system current limiting device, electronic equipment, a medium and a program product. The system current limiting method and device provided by the invention can be applied to the financial field or other fields.

Description

technical field [0001] The present disclosure relates to the field of distributed technology, in particular to a system current limiting method, device, electronic equipment, media and program product. Background technique [0002] This section is intended to provide a background or context for implementations of the disclosure that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] The distributed system has a service limit. When the traffic exceeds the service limit capacity, the system will freeze or crash. In order to ensure the stability and availability of the system, in the case of high concurrency or instantaneous high concurrency, you can use Traffic limiting strategy to limit the traffic entering the distributed system. [0004] Related technologies also provide some traffic limiting strategies, for example, the token bucket algorithm. However, once the current limiting parameters in this al...

AI Technical Summary

Problems solved by technology

However, once the current limiting parameters in this algorithm are determined, they cannot be adjusted.

If the current limiting parameter makes the traffic limit too large, the distributed system cannot bear it; if the current limiting parameter makes the traffic limit too small, the performance of the server in the distributed system cannot be fully utilized, and the hardware of each server There are differences in conditions. It is obviously inappropriate to apply a set of token bucket current limiting parameters to different servers, resulting in poor current limiting effect for distributed systems.

Images