Event context association processing method and system for time series data

Abstract

The invention discloses an event context association processing method and system for time series data. Firstly, event context association logic is defined, wherein the logic comprises two parts of adjacent event association logic and context merging processing logic, after data and timestamps of events are obtained, intermediate results in a computer memory are read and merged, and finally eventcontext association processing is carried out to obtain a unique context association processing result. According to the method, the defects of long time consumption and low efficiency in the prior art are overcome, and event context association processing of massive time series data can be quickly carried out; besides, an intermediate result is calculated in advance, so that a large amount of useless computer repeated operation is avoided during query, and the response speed is extremely high; in addition, the intermediate result is continuously changed along with system time movement, and the purpose of smooth movement of the time window can be achieved. According to the invention, the event context association processing efficiency of the time series data can be significantly improved.

Description

technical field [0001] The present invention relates to the technical field of data processing systems or methods, in particular to an event context associated processing method and system for time series data. Background technique [0002] Nowadays, with the rapid development of Internet technology, a large number of users perform operations such as page browsing, resource download, and information search on the Internet. These human operations include many specific complex events, such as staying on the page for 30 seconds, clicking a link 5 times in a row, uploading 2MB of data to the website, etc. When multiple events occur one after another, adjacent events contain contextual correlation information, which can reflect the behavioral characteristics of user activities, or as a monitoring of some abnormal situations, such as sudden increase in network traffic, sudden change of location information Wait. Therefore, these event context association information has high app...

AI Technical Summary

Problems solved by technology

However, there are obviously repeated logics that have been executed in the previous processing, but the existing technology still executes them, resulting in unnecessary waste of computer resources and low processing efficiency

[0005] At present, there is an urgent need for an event context correlation processing method and system for time series data, which can overcome the defects of long time consumption and low efficiency in the existing technical solutions, quickly perform event context correlation processing of massive time series data, and support the specified time window Inquire

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