Application Subsystem Routing With Dynamic Connection Control
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Solution Overview
Problem
Existing systems inefficiently utilize computing resources such as memory and network bandwidth due to predefined and constantly active connections between application sub-systems, even when some connections are not in use during data transfer processes.
Innovation Solution
Implementing an artificial intelligence/machine learning module to determine and manage interactions between application sub-systems by dynamically opening and closing connections based on a sequence of instructions generated by a control sub-system, optimizing the connection path and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If connections between application sub-systems remain active all or most of the time, then reliability of data transfer is improved, but computing resources (memory and network bandwidth) are wasted
Solution Approach 1:
The system dynamically manages connection states by transitioning connections between active and inactive states based on real-time data transfer requirements. The control sub-system monitors interaction patterns and activates connections only when needed for data transfer, then deactivates them to release resources, making the connection management adaptive rather than static.
Solution Approach 2:
The system employs periodic activation and deactivation of connections based on scheduled interactions between application sub-systems. Connections are activated periodically when data transfer is required and deactivated between transfer periods, creating a rhythmic pattern of resource allocation that matches the periodic nature of data transfer operations.
2Ease of operation
If predefined connection paths are used between application sub-systems, then ease of operation is improved, but adaptability to different data transfer scenarios deteriorates
Solution Approach 1:
The system dynamically determines connection paths based on the specific data transfer requirements of each interaction. Rather than using fixed predefined paths, the control sub-system evaluates the source and destination application sub-systems and selects optimal connection routes in real-time, allowing the system to adapt to different scenarios while maintaining operational simplicity through automated path selection.
Solution Approach 2:
The system autonomously manages connection path selection and configuration without requiring manual intervention. The control sub-system automatically identifies the appropriate connection path between application sub-systems based on interaction requirements, configures the necessary connections, and manages the data transfer process, making the system self-adapting to different scenarios.
Data Source
AI summary
A system and method for determining and managing interactions between application sub-systems. The method includes receiving plan identification information from a source application sub-system. One or more rule sets are applied to the plan identification information to determine: source and destination application sub-systems, a set of intermediate application sub-systems, and a sequence of connections determining a connection path from the source application sub-system to the destination application sub-system via the set of intermediate application sub-systems. A sequence of instructions is generated based on one or more of the source application sub-system, the destination application sub-system, the set of intermediate application sub-systems, and the sequence of connections. A first instruction is sent to the source application sub-system, which instructs the source application sub-system to: open a first connection between the source application sub-system and a first intermediate application sub-system, transfer first data via the first connection, and close the first connection.