Collaborative Online Gaming System with Dynamic Server Deployment
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Solution Overview
Problem
Existing online gaming systems lack robust collaborative features, failing to provide an efficient and seamless experience for multiplayer gaming.
Innovation Solution
The proposed system and method for collaborative online gaming include a central repository master browser, experience-calibrated match-making service, dynamic multiplayer server component auto deployment and aggregation, lobby-centric simultaneous and collaborative client gameplay launching, and video game screen over-layer technology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional online gaming systems are used, then basic gaming functionality is provided, but robust collaborative features and seamless multiplayer experience are lacking
Solution Approach 1:
The system is divided into distinct functional modules: master browser for game discovery, match-making service for player pairing, dynamic server components for gameplay hosting, and lobby system for pre-game coordination. Each module operates independently but coordinates through standardized interfaces, enabling robust collaborative features while maintaining manageable complexity through modular architecture.
2Ease of operation
If dynamic multiplayer servers are deployed for each game session, then seamless collaborative gameplay is enabled, but system resource consumption and deployment complexity increase
Solution Approach 1:
The dynamic server component performs self-deployment and self-management. When a game session is initiated, the server component automatically provisions itself, configures necessary resources, and manages its own lifecycle without requiring manual intervention. This self-service capability enables seamless multiplayer launches while the system intelligently manages underlying complexity through automated resource allocation and server aggregation.
3Measurement precision
If experience-calibrated match-making is implemented, then player pairing quality improves, but matching time and computational resources increase
Solution Approach 1:
Player skill metrics and experience data are continuously collected and pre-processed during gameplay sessions. The match-making service maintains pre-computed player profiles with calibrated skill levels, allowing rapid pairing decisions without performing complex calculations from scratch during match initiation. This preliminary processing of player data enables precise skill-based matching while minimizing actual matching time when players need to be paired.
Data Source
AI summary
A system, method, and computer program product for collaborative online gaming, including at least one of providing a central repository master browser system; providing an experience calibrated match-making service; providing a dynamic multiplayer server component auto deployment and aggregation system; providing a lobby centric simultaneous and collaborative client game play launching feature; and providing a video game screen over-layer technology giving users access to a control interface while inside a video game being played.