Smart Client Architecture for Unreliable Network Adaptation
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Solution Overview
Problem
Existing client-server architectures face reliability issues due to unreliable network connections and varying server loads, with current solutions relying on static rules that cannot dynamically adapt to changing conditions, limiting the resilience of the system.
Innovation Solution
Implementing a smart client that can modify the behavior of consuming components by establishing a network connection, executing services, and receiving modifications from a serving component, allowing dynamic adaptation to network and load changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static rules are used for load management and threat protection, then the system structure is simple and easy to implement, but the system cannot dynamically adapt to changing network conditions and server loads
Solution Approach 1:
The patent implements a smart client that dynamically adjusts its behavior based on real-time feedback from the server. The client can modify its control logic, caching strategies, and request rates adaptively rather than following static rules, resolving the contradiction between adaptability and complexity by introducing controlled dynamic elements only where needed.
Solution Approach 2:
The system establishes a feedback loop where the server monitors network conditions and load, then sends instructions to the smart client to adjust its behavior. This feedback mechanism enables dynamic adaptation without requiring complex decentralized decision-making at the client side, balancing adaptability with manageable system complexity.
2Reliability
If rate limiting and load balancing are implemented on the server side, then the server can be protected from overload, but the consuming components cannot independently react to network variations
Solution Approach 1:
The smart client is designed to autonomously monitor its own performance and network conditions, then self-adjust its behavior without requiring constant server intervention. The client can independently react to network variations by modifying its control logic and adjusting its request patterns, while the server provides guidance through sent instructions. This empowers consuming components with autonomous reaction capabilities while maintaining overall system reliability.
3Adaptability or versatility
If the smart client modifies control logic of consuming components, then dynamic behavior adjustment is enabled, but the consuming component loses some control over its own operation
Solution Approach 1:
The smart client acts as an intermediary layer between the consuming component and the server. It modifies control logic and adjusts behavior based on server instructions, but does so in a way that preserves the consuming component's core functionality and autonomy. The intermediary smart client translates server guidance into appropriate behavioral adjustments without completely overriding the original component's control.
Data Source
AI summary
Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems for enabling modifying a behavior of a consuming component. The method comprises requesting a smart client by a consuming component. The smart client is adapted to modify a control logic of the consuming component and to establish a network connection. Next, the consuming component executes the smart client and receives a modification for the smart client of the consuming component. Further, a computer-implemented method for enabling modifying a behavior of a consuming component by a serving component is disclosed. This method comprises, upon receiving a request for a smart client by the serving component, providing a smart client, transmitting the smart client, receiving service requests comprising procedure calls to be executed by the serving component, and, upon detecting a performance change by the serving component, sending a modification for the smart client.


