Context-Aware Client Layer Assembly for Distributed Environments
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional client programs struggle to efficiently adapt their functionality to various contexts in which they are implemented, leading to unnecessary complexity and resource consumption.
Innovation Solution
A method and system for dynamically adjusting client program functionality by receiving context identities from clients, evaluating these identities to determine appropriate layers, and generating and deploying multi-layered client programs tailored to specific environments, using context adaptors and central servers to manage layer combinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If client programs include all possible layers to support multiple environments, then adaptability is improved, but device complexity increases
Solution Approach 1:
The client program is divided into multiple independent layers, each providing specific functionality. The system segments the program into a core layer and multiple optional layers that can be independently selected and loaded based on the execution context, allowing adaptability without including all functionality simultaneously.
Solution Approach 2:
The system dynamically determines which layers to include in the client program based on the execution context. The layer configuration is not fixed but adapts dynamically according to the environment type (local, open network, closed network, edge), enabling the program to have appropriate complexity for each context rather than maintaining maximum complexity always.
2Productivity
If client programs are customized for each environment, then performance is improved, but ease of manufacture deteriorates
Solution Approach 1:
The system uses a universal build process that can generate client programs for multiple environments from a single configuration. The same manufacturing pipeline produces customized programs by selecting different layer combinations based on the target environment, eliminating the need for separate build processes for each environment while maintaining optimized performance.
Solution Approach 2:
The system customizes client programs by changing parameters (layer selections) rather than creating fundamentally different programs for each environment. By modifying the layer configuration parameters based on the target environment, the system achieves environment-specific optimization through a single flexible manufacturing process.
3Reliability
If resource-intensive builds are performed for each environment, then reliability is improved, but use of energy increases
Solution Approach 1:
The system performs preliminary analysis of the execution context to determine the appropriate layer configuration before building the client program. By pre-determining which layers are needed based on the environment type, the system avoids performing resource-intensive builds for unnecessary functionality, reducing energy consumption while ensuring the program has all required components for reliable operation in the target environment.
Data Source
AI summary
A computer-implemented method (CIM), according to one approach, includes: receiving a context identity at a central server in response to a context handshake being initiated between a client and the central server. The context identity is received from the client and the context identity includes identifying details that are correlated with the client. The CIM also includes evaluating the context identity and determining a combination of layers to include in a client program. The combination of layers are determined based at least in part on the evaluation performed. The client program is generated by assembling the determined combination of layers. Moreover, the generated client program is deployed to the client. Furthermore, a communication channel is established between the client and the central server.