Configuration adjustment method and device and electronic equipment

Abstract

The invention provides a configuration adjustment method and device and electronic equipment, and relates to the technical field of data processing. The method comprises the steps: firstly, acquiring the back-to-source configuration of data to be accessed from an access request; if the to-be-accessed data is the preset hotspot data and the back-to-source configuration indication preferentially acquires the to-be-accessed data from the external equipment, adjusting the back-to-source configuration of the to-be-accessed data, so that the back-to-source configuration indication preferentially acquires the to-be-accessed data from the local equipment. According to the embodiment of the invention, the hot spot data is preferentially acquired from the local equipment by adjusting the back-to-source configuration of the hot spot data, so the hot spot data is cached to the local equipment, and when the node server subsequently receives the access request of the hot spot data, the cached hot spot data can be directly read from the local, and the hotspot data does not need to be obtained from other external equipment in a cross-machine manner, so the problem that the consumption pressure of node service resources (such as network bandwidth and a CPU) caused by access of the hotspot data is higher is solved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a configuration adjustment method, device and electronic equipment. Background technique [0002] Hot resources refer to resources with high concurrent access within a period of time, such as popular videos and hot news. Normally, when a CDN (Content Delivery Network, content distribution network) server receives a network access request, it uses a consistent hash algorithm for non-hot resources to select a cache device (cache) in the node to return to the source. And cache, and the hot resources will be randomly hashed to multiple cache devices to return to the source, so as to avoid the large pressure on a single cache device due to the huge access volume of hot resources. [0003] The above method of distributing access to hotspot resources to multiple cache devices reduces the pressure on a single cache device, but does not reduce the resource consumption of ...

AI Technical Summary

Problems solved by technology

[0003] The above method of distributing access to hotspot resources to multiple cache devices reduces the pressure on a single cache device, but does not reduce the resource consumption of the overall storage network. , network card, memory pressure has not decreased

Therefore, when there are multiple hotspot resources at the same time, it often causes high pressure on the node server, which affects the quality of service

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