Dynamic Communication Interval Control for Server Load Management
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Solution Overview
Problem
Network systems with clients and servers experience increased processing loads due to frequent response requests from clients, leading to potential delays and congestion, particularly when multiple clients send requests simultaneously.
Innovation Solution
A network system where clients transmit response requests at intervals calculated based on factors affecting the server's processing load, such as the number of clients, server capacity, and data processing time, with the server communicating these intervals back to the clients to distribute request times and prevent high concentrations of requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If clients send response requests at regular time intervals to ensure systematic communication, then communication regularity is maintained, but processing load on the server increases due to high concentration of requests
Solution Approach 1:
The patent implements dynamic communication intervals where clients adjust their request timing based on real-time server load conditions. Instead of fixed regular intervals, the system dynamically modifies communication frequency to balance stability with load management, allowing intervals to expand or contract based on server capacity and current request volume
Solution Approach 2:
The server provides feedback to clients about its processing load status, enabling clients to adjust their request intervals accordingly. This feedback mechanism allows the system to maintain communication regularity when server capacity is available while preventing request concentration when the server is overloaded, directly addressing the contradiction between regularity and load management
2Speed
If multiple clients send response requests simultaneously to ensure timely status reporting, then reporting speed is improved, but server processing delays occur due to request concentration
Solution Approach 1:
Clients perform preliminary checks of server load conditions before sending requests. The system evaluates server capacity in advance and adjusts request timing accordingly, preventing simultaneous requests that would cause processing delays while still enabling timely reporting when server capacity permits
Solution Approach 2:
The system implements periodic status reporting with variable intervals rather than fixed timing. Clients send status updates at regular intervals that are dynamically adjusted based on server load, maintaining reporting speed when capacity is available while preventing request concentration that would cause delays
3Reliability
If clients increase request frequency to ensure comprehensive status monitoring, then monitoring completeness is improved, but server processing load increases
Solution Approach 1:
The system changes the parameter of communication frequency based on server load conditions. When server capacity is high, clients increase request frequency to ensure comprehensive monitoring. When server load is high, clients reduce frequency to prevent overwhelming the server, thus maintaining monitoring completeness while managing processing load
Data Source
AI summary
Increasing the processing load on the server is suppressed in a network system in which response requests are intermittently transmitted from a client to a server. A network system has a client configured to transmit response requests at a specific time interval, and a server configured to send a response to the client according to a received response request. The server calculates a communication interval indicating an interval at which the client is to transmit its response request based on a factor affecting the processing load of the server, and sends communication interval information indicating the calculated communication interval to the client. The client transmits its response request at the time interval indicated by the communication interval information received from the server.


