Workflow processing system and method

By creating workflow templates and dynamically creating container execution task nodes through a graphical interface, the problem of low resource utilization in cloud-native environments is solved, achieving efficient resource utilization and system scalability. It also supports zero-code configuration of new operator types, improving the system's flexibility and maintainability.

CN122134082APending Publication Date: 2026-06-02TRAVELSKY TECHNOLOGY LIMITED
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
TRAVELSKY TECHNOLOGY LIMITED
Filing Date
2026-02-10
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

In cloud-native environments, existing workflow scheduling systems suffer from low resource utilization, poor system scalability, complex operation and maintenance, and deep coupling between scheduling services and execution environments, making it difficult to meet the requirements of high availability, loose coupling, and declarative application programming interfaces.

Method used

This invention provides a workflow processing system that allows users to create workflow template files through a graphical interface, dynamically create and destroy container execution task nodes, support zero-code configuration of new operator types, achieve flexible adjustment of scheduling strategies and efficient utilization of resources, adopt a serverless execution mode, and immediately destroy containers to reclaim resources after task completion.

Benefits of technology

It improves resource utilization, reduces system coupling, enhances maintainability and scalability, and dynamic resource allocation avoids resource idleness, supporting high availability and flexible workflow scheduling.

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Abstract

This application discloses a workflow processing system and method. It relates to the fields of cloud computing, automated task scheduling, and container orchestration. The system includes: a server, used to interact with users through a graphical interface, create workflow template files, and send the workflow template files to a scheduler; a scheduler, used to receive workflow instances, extract a directed acyclic graph (DAG) from the workflow instances, and control clients to execute workflow instances according to the DAG; and a client, used to execute tasks of N task nodes through N containers, updating the status of each task node to the server. This application solves the problem of low resource utilization in workflow scheduling in cloud-native environments in related technologies.
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