Network anomaly detection method and device and server

A network anomaly and detection method technology, applied in the Internet field, can solve the problems of memory overflow, large amount of predicted data, occupying memory resources, etc., and achieve the effect of alleviating memory pressure
CN112994965AActive Publication Date: 2021-06-18BEIJING KINGSOFT CLOUD NETWORK TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING KINGSOFT CLOUD NETWORK TECH CO LTD
Publication Date
2021-06-18

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Abstract

The invention provides a network anomaly detection method and device and a server. The method comprises the following steps: receiving a data stream of predicted data of a network index corresponding to a specified time and a data stream of actual data of the network index corresponding to the specified time; and comparing the data stream of the received prediction data with the data stream of the actual data to obtain a comparison result of the network indexes. According to the method, specified time is set in advance, when the specified time is reached, a data stream of prediction data and a data stream of actual data of a network index corresponding to the specified time are received and are compared, the prediction data and the actual data are gradually extracted in the time dimension, and the comparison is carried out in the form of the data streams, and a large amount of prediction data does not need to be cached, so that memory pressure is relieved.
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Description

technical field

[0001] The invention relates to the technical field of the Internet, in particular to a network anomaly detection method, device and server. Background technique

[0002] CDN (Content Delivery Network) network is a commonly used information distribution network. The network quality of the CDN network directly affects the efficiency and reliability of information distribution. Therefore, it is necessary to carry out various indicators related to network quality. Monitoring, network indicators such as error code, failure rate, bandwidth, packet loss rate, packet sending time, etc. Through monitoring, network abnormalities can be discovered and dealt with in time to ensure the normal operation of the CDN network.

[0003] In one of the methods, it is necessary to obtain the forecast data of the network indicators first, which can be the forecast data obtained by predicting the indicators based on the historical network indicator data using a preset algorithm, a...

Claims

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