Distributed storage system service equalization processing method, device and equipment

Abstract

The invention discloses a distributed storage system service equalization processing method, which comprises the following steps: receiving a plurality of service requests sent by a client after executing a service operation, and analyzing the service type of the service operation; determining an adjustment strategy corresponding to the service type according to a preset adjustment rule; if the service type corresponds to the delay improvement type strategy, controlling the service request to read and write data in a service cache layer arranged in front of an underlying system; wherein the service cache layer stores service processing data in a preset time period before the current moment; and if the service type corresponds to the throughput improvement type strategy, controlling the service request to read and write the data of the underlying system. According to the invention, the performance requirement can be analyzed according to the type of the service operation, so that an appropriate processing mode is selected for processing, and the overall performance of the distributed storage system is improved. The invention further discloses a device and equipment based on the method and a computer readable storage medium.

Description

technical field [0001] The invention relates to the technical field of service balance distribution, in particular to a service balance processing method of a distributed storage system. The invention also relates to a distributed storage system service equalization processing device, equipment and computer-readable storage medium. Background technique [0002] A distributed storage system stores data dispersedly on multiple independent devices. Traditional network storage systems use centralized storage servers to store all data. Storage servers become the bottleneck of system performance and the focus of reliability and security, which cannot meet the needs of large-scale storage applications. The distributed network storage system adopts a scalable system structure, uses multiple storage servers to share the storage load, and uses the location server to locate and store information. It not only improves the reliability, availability and access efficiency of the system, b...

AI Technical Summary

Problems solved by technology

These two indicators are often contradictory. Pursuing high throughput is more difficult to achieve low latency. Pursuing low latency will affect throughput.

In this way, when the system performs business balancing, usually only one item can be sacrificed for processing, resulting in poor processing performance for another demanding business, which affects the overall performance of the system.

Images