Task Data Conversion for Virtual Platform Computing Cost Reduction
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Solution Overview
Problem
The increasing demand for computational power in digital transformation processes leads to high costs for businesses, necessitating an effective reduction in computing power expenses.
Innovation Solution
A data transformation system and method that connects external business systems with online virtual platforms, converting business tasks into virtual tasks executable by platform users, leveraging their computing power to reduce costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If computational power is purchased to meet increasing demand for digital transformation, then business processes can be automated and operational efficiency enhanced, but computing power costs increase
Solution Approach 1:
The patent introduces an intermediary system that bridges external business systems and online virtual platforms. This intermediary converts business task requests into virtual task requests that can be executed by platform users, and converts the resulting virtual task data back into business system-compatible formats. This mediator enables cost-effective computational resource sharing without requiring direct integration between disparate systems.
Solution Approach 2:
The patent makes the online virtual platform serve multiple functions: it provides its primary virtual world services while simultaneously functioning as a computational resource platform for external business systems. The platform's user base is leveraged to perform business tasks, transforming a single-purpose system into a multi-functional ecosystem that generates additional value from existing resources.
2Reliability
If data models of external business systems are strictly maintained, then data compatibility and integration are ensured, but flexibility to utilize external computational resources is reduced
Solution Approach 1:
The data converter components act as intermediaries that translate between different data models. The first data converter transforms business system data models into virtual platform data models, while the second data converter reverses this transformation. This layered translation approach allows strict maintenance of original data models while enabling flexible integration with external computational resources through standardized conversion interfaces.
Solution Approach 2:
The patent segments the data transformation process into distinct components: data converter modules that handle model translation, task request converters that handle task transformation, and interface modules that manage communication. This segmentation allows each component to specialize in specific transformation tasks, improving both reliability of data compatibility and flexibility of resource utilization through modular, reusable transformation logic.
Data Source
AI summary
A data transformation method, applied to connecting an external business system and an online virtual platform, includes receiving and storing at least one first task request from the external business system; converting the stored at least one first task request into a second task request; sending the second task request to the online virtual platform, so that the second task request generates a corresponding virtual task on the online virtual platform; receiving and storing a second processing result from the online virtual platform; converting the stored at least one second processing result into a first processing result; and feeding back the first processing result to the external business system.