On-Demand Environment Simulation Using 3D Process Flow Mapping
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Solution Overview
Problem
Conventional cloud computing environments lack the ability to efficiently simulate different scenarios associated with distributed applications, particularly in three-dimensional spaces, limiting the effectiveness of process flow simulations.
Innovation Solution
Implementing a graphics rendering environment within a computing platform that uses a graphics engine to create a three-dimensional representation of assets, which are bidirectionally mapped to process flow data structures, allowing users to simulate and interact with scenarios and functionality within the application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional cloud computing environments are used to host distributed applications, then services can be provided through shared resources and internet-accessible servers, but the ability to simulate different scenarios in three-dimensional spaces is limited
Solution Approach 1:
The patent merges the cloud computing platform with a graphics rendering environment by integrating a graphics engine into the cloud infrastructure. This combination enables the cloud system to provide both traditional distributed application hosting and immersive three-dimensional scenario simulation capabilities, allowing users to interact with virtual representations of physical environments while maintaining the shared resource benefits of cloud computing
Solution Approach 2:
The graphics rendering environment acts as an intermediary layer between the cloud computing platform and the end-user interface. It receives data from the cloud-based distributed application, transforms it into three-dimensional visual representations, and presents them to users through graphical user interfaces, thereby enabling scenario simulation without requiring users to directly interact with the complex cloud infrastructure
2Ease of operation
If three-dimensional graphical representations are implemented to enable immersive simulation, then user interaction with scenarios is enhanced, but computational resource requirements increase
Solution Approach 1:
The system segments the computational workload by separating data processing from graphics rendering. The cloud computing platform handles data collection, storage, and business logic, while the graphics rendering environment focuses solely on visualizing this data in three-dimensional space. This division allows each component to be optimized independently, reducing overall energy consumption compared to a monolithic approach
Solution Approach 2:
Instead of requiring users to directly access and process large volumes of cloud data, the system creates visual copies or representations of this data in the three-dimensional graphical environment. Users interact with these simplified visual models rather than the raw data, significantly reducing the computational energy required for user interaction while maintaining ease of operation
3Measurement precision
If bidirectional mapping between graphics assets and process flow data structures is implemented, then simulation accuracy is improved, but system complexity increases
Solution Approach 1:
The mapping framework is designed as a universal intermediary that handles multiple types of data structures and graphics assets through a unified approach. It provides standardized conversion rules that work across different process flow representations and graphical elements, achieving accurate simulation mapping without requiring complex custom mappings for each specific data type, thereby managing system complexity
Data Source
AI summary
Systems, methods, and devices provide on-demand environment simulation. A computing platform may be implemented using a server system, where the computing platform is configurable to cause receiving a message from a graphics engine, the message identifying at least one object included in a graphics rendering environment, and further identifying status information associated with the at least one object, and identifying, based on the received message, an instance of an on-demand application associated with the graphics rendering environment. The computing platform may be further configurable to cause mapping the status information to an operation associated with the instance of the on-demand application based on a designated mapping of graphics engine assets to the instance of the on-demand application.