Cloud Emulator Pre-loading Translated Code for Game Loading
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Solution Overview
Problem
Video game loading times are significant, especially when emulating games over a cloud-based network, and incremental buffering requires redesigning games, increasing development time and cost, necessitating a method for pre-loading translated code to enhance loading speed and user experience.
Innovation Solution
An emulator on a cloud-based server pre-loads translated code for emulated applications by using a prediction engine to select games or snapshots based on historical data, user profiles, and game triggers, translating and caching the data for immediate delivery upon client request, allowing games to start without delay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If incremental buffering is used to speed up game loading, then loading time from predetermined starting position is reduced, but game development time and cost increase due to required redesign
Solution Approach 1:
The system pre-loads translated code and game data into cache memory before the user actually requests to play the game. The prediction engine anticipates which games users will play next and pre-processes their code in advance, converting it to translated code and storing it in cache. This preliminary action eliminates the need for incremental buffering redesign while achieving fast loading.
Solution Approach 2:
The system uses historical data, user profiles, and game trigger analysis to automatically predict which games users will play and pre-load them without requiring user input or manual configuration. The prediction engine and translation system operate autonomously to service user needs before they are explicitly expressed.
2Adaptability or versatility
If cloud-based network delivery is used for emulated games, then accessibility is improved, but loading time increases due to network transmission delays
Solution Approach 1:
The system translates and caches game code in advance on the cloud server before the user requests it. By pre-processing the code translation and storing it in local cache memory on both server and client sides, the system minimizes the amount of data that needs to be transmitted over the network when the user actually plays, thereby reducing network-related loading delays.
Solution Approach 2:
The translation layer acts as an intermediary between the original game code and the emulated execution. By pre-translating code to a universal intermediate format and caching it, the system reduces the computational overhead during actual gameplay and minimizes network transmission requirements, as only cached data needs to be delivered rather than raw game assets.
3Speed
If code translation and caching is implemented before client selection, then loading speed is improved, but server processing load increases
Solution Approach 1:
Instead of pre-loading all possible games, the system uses the prediction engine to selectively pre-load only those games that users are most likely to play next, based on historical data and user profiles. This partial action approach processes a subset of games in advance, reducing server load while still achieving fast loading for the majority of user requests.
Solution Approach 2:
The system performs code translation and caching in periodic batches between user requests, rather than continuously or all at once. The prediction engine analyzes usage patterns over time and schedules translation tasks during low-traffic periods, distributing the processing load evenly and avoiding peak server strain.
Data Source
AI summary
Pre-translated code for an emulated application may be retrieved and executed to translate data from the emulated application into a form compatible with the client device before receiving a request for the emulated application from the client device. The translated data may be delivered to the client device platform over a network after receiving the request for the emulated application from the client device.