Asynchronous Business Object Storage via Enterprise Service Framework
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Solution Overview
Problem
Existing data processing systems face inefficiencies in storing business object data, particularly due to synchronous processing methods that require users to wait for data consistency checks and storage operations to complete, leading to increased processing time and potential user interaction delays.
Innovation Solution
Implementing an asynchronous method for storing business object data, where the enterprise service framework determines data consistency and initiates save procedures independently, allowing for immediate user feedback on successful storage without waiting for all operations to finish.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If synchronous processing method is used to store business object data, then data consistency is ensured, but user processing time increases and user experience deteriorates
Solution Approach 1:
The system performs data consistency checks and initiates save procedures in advance, before the user completes their interaction. The enterprise service framework validates business object data and begins storage operations proactively, allowing the user to receive immediate confirmation without waiting for all background operations to complete.
Solution Approach 2:
The patent separates the data storage process into multiple independent asynchronous operations: consistency checking, save procedure initiation, and background completion. These segmented operations execute concurrently without blocking user interaction, resolving the contradiction between ensuring data consistency and minimizing user waiting time.
2Reliability
If synchronous processing is used to ensure data is stored correctly, then processing reliability is improved, but system productivity decreases
Solution Approach 1:
The system maintains continuous processing by launching save procedures and consistency checks as background asynchronous operations that continue executing without interrupting the user workflow. This allows the system to process multiple business objects simultaneously, improving throughput while maintaining reliability through the enterprise service framework's validation logic.
Solution Approach 2:
The patent introduces an intermediary asynchronous task mechanism that mediates between the user interface and the data storage operations. This intermediary layer allows the system to maintain reliable processing through the enterprise service framework while decoupling it from the user interaction timeline, thereby improving overall system productivity.
3Manufacturing precision
If the system waits for all operations to complete before indicating storage success, then data accuracy is ensured, but user interaction efficiency deteriorates
Solution Approach 1:
The enterprise service framework performs preliminary data validation and consistency checks before the user completes their interaction. Once validated, the system provides immediate storage success indication to the user, while background operations continue to ensure complete and accurate data persistence without blocking the user interface.
Solution Approach 2:
The patent implements dynamic processing where the system adapts its response timing based on operation status. The user interface provides immediate feedback upon validation completion, while the actual storage operations dynamically continue in the background. This dynamic approach ensures data accuracy through thorough processing while maintaining ease of operation through responsive user feedback.
Data Source
AI summary
A method, a system, and computer-readable medium for processing of data are disclosed. An acknowledgement is received to store business object data. Based on the acknowledgement, an indication that the business object data is stored in a repository is generated. Processing of the business object data to enable storage in the repository continues while generating such indication.