Workflow monitoring method and device

CN119806950APending Publication Date: 2025-04-11CHINA TELECOM CLOUD TECH CO LTD
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Patent Information

Application Number
CN202411719644.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-27
Publication Date
2025-04-11

AI Technical Summary

Technical Problem

The existing technology lacks effective monitoring and analysis algorithms, and cannot calculate and inform users of the operation of workflows in a timely and automatically, resulting in low performance analysis efficiency.

Method used

By obtaining reference information of multiple processing nodes in the processing node sequence for the target stream file, including operation identification and operation time, detailed monitoring information is generated to achieve complete traceability and performance analysis of the data stream.

Benefits of technology

Accurate monitoring of workflows is achieved, enabling rapid positioning of the root cause of problems, identifying bottlenecks or abnormal delays, improving performance analysis efficiency, and helping to optimize every processing node in the workflow.

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Abstract

The invention relates to the technical field of big data processing and distribution, and discloses a workflow monitoring method and device, and the method comprises the steps: obtaining the reference information of a plurality of processing nodes in a processing node sequence used for processing a target workflow for a target flow file, the reference information comprises identifiers of operations related to the target stream file performed by the plurality of processing nodes, operation time of the operations related to the target stream file performed by the processing nodes, and an identifier of the target stream file; and generating monitoring information according to the reference information. By accurately monitoring the workflow, the complete tracing of the data flow can be realized, the operation history of the flow file at a certain processing node can be traced, and the problem source can be quickly positioned.
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