Aggregation Platform for Real-Time Player Eligibility in Gaming
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Solution Overview
Problem
In computerized gaming systems, existing technologies face challenges in facilitating participation in feature operation events across multiple players and Remote Gaming Servers (RGSs), requiring efficient eligibility determination and award distribution without disrupting ongoing games.
Innovation Solution
A method and system that provides an aggregation platform to determine player eligibility in real-time for a shared feature operation, iteratively select eligible players, and grant awards, while managing possession iterations and award distribution dynamically based on event duration and player activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time eligibility determination is performed for multiple players across multiple games, then player engagement and fairness are improved, but system complexity and processing load increase
Solution Approach 1:
The system segments the eligibility determination process by creating separate eligibility queues for different games and players, allowing independent processing of eligibility checks for each player-game combination. This segmentation enables real-time determination without overwhelming the entire system, as each queue can be processed independently by the aggregation platform.
Solution Approach 2:
The aggregation platform acts as an intermediary between the games and the award distribution system. It receives eligibility data from games, processes it centrally, and manages the feature possession iterations. This intermediary role consolidates complexity into a single management layer rather than distributing it across all games and players.
2Reliability
If feature possession is divided into multiple iterations with shorter durations, then player engagement and fairness are improved, but the frequency of eligibility checks and system operations increases
Solution Approach 1:
The system implements periodic feature possession iterations where the feature is awarded to different eligible players in cycles. Each iteration has a predetermined duration, and the system automatically transitions between players based on this periodic schedule. This periodic action ensures fair distribution while maintaining predictable operational patterns that optimize processing efficiency.
Solution Approach 2:
The system performs preliminary actions by pre-determining eligibility of players and pre-calculating the sequence of feature possession iterations before the actual feature distribution begins. This allows the system to prepare eligibility data and iteration schedules in advance, reducing real-time processing requirements and improving overall operational efficiency.
3Ease of operation
If eligibility determination is performed repeatedly during the event duration, then player engagement is improved, but processing time and system resources are consumed
Solution Approach 1:
The system implements feedback mechanisms where player eligibility status is continuously monitored and fed back into the eligibility queues. When players meet new eligibility criteria or their status changes, the system receives feedback and updates the queues accordingly. This feedback approach ensures player engagement by maintaining accurate eligibility information while optimizing processing by only updating when necessary rather than continuously re-evaluating all players.
Data Source
AI summary
A computerized method of facilitating participation in a feature operation executed in a game is provided. The computerized method comprises providing an aggregation platform operatively communicating with at least one remote game server (RGS). The RGS hosts at least one game to be provided to a plurality of players through players' devices. The method further comprises determining, in real time, eligibility of the plurality of players to participate in an operation of a feature shared between the players for a pre-configured event duration, wherein the shared feature operation is executed separately from the game. In response to determining that players are eligible players, facilitating their participation in the execution of the shared feature operation by iteratively selecting one eligible player as possessing a shared feature for a possession iteration having a respective possession duration, and granting an award feature to an eligible player that possesses the shared feature.