Service Configuration System for Network Latency
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Solution Overview
Problem
High network latency in carrier networks significantly impacts the performance of application services that require continuous communications and data updates, particularly in regions with high traffic or infrastructure issues, leading to suboptimal user experiences in services like ride-sharing, gaming, and financial transactions.
Innovation Solution
A service configuration system dynamically adjusts the properties of application services running on user devices and backend datacenters by modifying data transmission amounts and types, and application configurations in response to detected network latency, prioritizing certain devices based on status, and utilizing network monitoring systems to generate configuration signals for optimizing performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If application services transmit continuous data updates and maintain frequent communications between backend servers and client devices, then service reliability and user experience are improved, but network latency increases and performance deteriorates in high-traffic regions
Solution Approach 1:
The patent implements region-specific service configurations by geofencing and detecting user device locations. Different configuration parameters are applied to devices in different geographical regions based on their network conditions. This allows optimal data transmission amounts and communication frequencies to be tailored locally, improving reliability in low-latency regions while reducing latency impact in high-traffic regions.
Solution Approach 2:
The patent dynamically adjusts service configuration parameters based on real-time network conditions, device status, and location. The system monitors network latency and other performance metrics, then automatically modifies data transmission amounts, communication frequencies, and service parameters. This dynamic adaptation resolves the contradiction by allowing the system to maintain high reliability when network conditions permit while reducing latency impact when conditions deteriorate.
2Loss of time
If the service configuration system dynamically adjusts application properties and data transmission amounts for all devices, then network latency effects are mitigated, but device complexity and system overhead increase
Solution Approach 1:
The patent segments the user base into different groups based on device status, location, and network conditions. Configuration signals are targeted to specific segments (e.g., priority devices in specific geofences) rather than applying uniformly to all devices. This segmentation reduces system complexity by allowing selective configuration management while still mitigating latency effects for critical services and regions.
Solution Approach 2:
The patent manages complexity by focusing parameter changes on specific service configuration aspects such as data transmission amounts, communication frequencies, and timing parameters. Rather than redesigning the entire system, the approach modifies individual parameters dynamically based on network conditions, reducing the overall system complexity while effectively addressing latency issues.
3Reliability
If the system prioritizes certain devices based on status in high-latency regions, then critical service performance is maintained, but fairness and equality of service quality across all devices are compromised
Solution Approach 1:
The patent applies different service quality levels to different device segments based on their status and location. Priority devices (e.g., those with premium subscriptions or time-sensitive operations) receive optimized configurations in high-latency regions, while other devices receive standard configurations. This local differentiation maintains critical service performance while providing a structured approach to service equality based on user-defined priorities.
Solution Approach 2:
The patent implements partial prioritization by applying enhanced configuration adjustments only to specific device segments in high-latency regions rather than all devices. This partial action allows the system to maintain critical services with higher performance while accepting reduced equality for non-critical devices, balancing reliability requirements with service fairness.
Data Source
AI summary
A computing system implementing an application service can receive network data from computing devices of clients of the application service. The system can determine, from the network data, that a network latency for a subset of the computing devices crosses above a latency threshold. Based on determining that the subset of computing devices utilize a common network service provider, the system can transmit a set of configuration signals to the subset of computing devices, which modify a set of default application configurations of the designated application to compensate for the network latency.