Network dynamic service monitoring method and apparatus

Abstract

The invention discloses a network dynamic service monitoring method. The method comprises the following steps: extracting already finished network service data in a specific period from a network service data record as historical service data, adjusting and calculating a success rate reference value to obtain an adjusting success rate reference value in accordance with the success rate reference value or a failure rate reference value which is obtained according to the historical service data, and determining whether the adjusting success rate reference value is smaller than or equal to a preset fluctuation ratio alarm threshold; or performing adjustment and calculation on the failure rate reference value to obtain an adjusting failure rate reference value, and determining whether the adjusting failure rate reference value is greater than the preset fluctuation ratio alarm threshold; if so, determining that severe abnormities occur in network services within a monitoring period; and determining the severity of the severe abnormities through severity scores. By using the dynamic service monitoring method, the network service monitoring accuracy and flexibility are improved, and the manual processing workload generated due to false reporting is effectively reduced.

Description

technical field

[0001] The application relates to the field of electronic commerce, and specifically relates to a network dynamic service monitoring method and a network dynamic service monitoring device. Background technique

[0002] With the wide application of the Internet, electronic commerce (Electronic Commerce) has increasingly become the mainstream business model. Due to the seriousness of business activities, it is necessary to ensure the accuracy and timely transmission of network information, resulting in a large number of network business monitoring requirements.

[0003] For e-commerce, the so-called network business monitoring refers to the strict control and real-time monitoring of information transmission and business processes through the network to ensure the smooth progress of various business activities that rely on the network. Because e-commerce includes a large amount of data flowing in the network automatically and without human participation, it is v...

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