Privacy-Compliant Matchmaking via ISP Latency Prediction
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Solution Overview
Problem
Online gaming platforms face frustration and delays due to difficulties in finding suitable matches for players, primarily caused by unsatisfactory connection quality between players, which existing matchmaking systems fail to address effectively while adhering to privacy regulations.
Innovation Solution
Implement a matchmaking system that predicts connectivity between players using privacy-compliant methods, separating internal and external network connection data, and utilizing historical latency data between ISPs to match players based on predicted connectivity without storing personally identifiable information, thereby improving match quality and resource preservation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional matchmaking systems match players without considering connection quality, then matching speed is improved, but connection quality deteriorates
Solution Approach 1:
The system performs preliminary connectivity prediction between ISPs before finalizing player matches. By predicting connection quality in advance using historical latency data and network routing information, the system can filter out poor connection prospects before committing to a match, thus maintaining both matching speed and connection quality.
Solution Approach 2:
The system introduces ISP-level connectivity data as an intermediary layer between individual player connections and the matchmaking decision. Instead of directly measuring player-to-player connection quality, the system uses ISP network performance data as a mediator to predict and ensure acceptable connection quality without delaying the matching process.
2Measurement precision
If matchmaking systems store detailed player connection data, then connection quality prediction is improved, but privacy compliance deteriorates
Solution Approach 1:
The system extracts and stores only ISP-level network performance data (such as average latency between ISPs) while removing or anonymizing all personally identifiable information about individual players. This extraction approach maintains the ability to predict connection quality at the network level without violating player privacy by storing sensitive personal connection data.
Solution Approach 2:
Instead of storing actual player connection data, the system creates and stores aggregated network performance models that copy only the essential connectivity characteristics at the ISP level. These models preserve prediction accuracy while eliminating privacy risks by never retaining identifiable player information.
3Reliability
If the system predicts and filters unsatisfactory connections, then match quality is improved, but matchmaking time increases
Solution Approach 1:
The system performs connectivity predictions using pre-collected ISP network performance data before the matchmaking process begins. By having this prediction capability ready in advance, the system can quickly filter unsuitable matches during the matchmaking process without adding significant time delays, thus maintaining high match quality while minimizing matchmaking time.
4Reliability
If the system uses hosted connections instead of direct player connections, then connection stability is improved, but system resource usage increases
Solution Approach 1:
The system implements hosted connections selectively rather than universally. By using connectivity prediction to identify only those player pairs who would benefit from hosted connections (such as players with predicted poor direct connections), the system achieves connection stability improvements where needed while avoiding unnecessary resource consumption for players who can connect directly.
Data Source
AI summary
A matchmaking system matches players for online gaming using privacy compliant connectivity prediction between the players being matched. The matchmaking system may receive historical data relating to network connections between a first respective internet service provider (ISP) of a first player device of a first player and one or more of a hosting system or a second respective ISP of a second device of a second player and determine, based at least in part on the historical data, a predicted connectivity between one or more of the first respective ISP and the second respective ISP, the first respective ISP and the hosting system, or the second respective ISP and the hosting system. Then, based at least in part on the predicted connectivity, the matchmaking system may instantiate an online game between at least the first device of the first player and the second device of the second player.