Predictive Resource Allocation for Simulation Agents
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Solution Overview
Problem
Current gaming technologies face latency issues due to data transfer and device initialization delays, leading to suboptimal gaming experiences as data is loaded or transferred between game servers and client devices, causing delays and disruptions in gameplay.
Innovation Solution
Implement predictive resource allocation techniques that anticipate game events by initializing destination devices and transferring data assets ahead of time, using spatial data structures to manage simulation agents and environments, and dynamically allocating computing resources based on movement behaviors and resource costs to minimize latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is transferred between game servers and player devices during gameplay, then game functionality is enabled, but latency occurs causing delays and disruptions
Solution Approach 1:
The system performs preliminary actions by predicting future game events and pre-transferring data assets to player devices before they are actually needed. The server predicts events such as player movement to new locations, weapon pickups, or vehicle entries, and proactively transfers the associated data assets in advance, thereby eliminating latency when these events occur during gameplay.
2Productivity
If computing resources are allocated dynamically during gameplay, then resource efficiency is improved, but latency occurs due to initialization delays
Solution Approach 1:
The system applies preliminary action by pre-initializing computing resources and pre-transferring data assets based on predicted game events. Instead of allocating resources and transferring data only when events occur, the system anticipates events and prepares resources in advance, thus maintaining resource efficiency while eliminating initialization delays during gameplay.
3Loss of energy
If data assets are transferred on-demand during gameplay, then bandwidth usage is optimized, but latency causes incomplete rendering and communication lag
Solution Approach 1:
The system performs preliminary data transfers by predicting which data assets will be needed and transferring them to player devices before the predicted events occur. This ensures that data assets are already available and fully loaded when needed, preventing incomplete rendering and communication lag, while still optimizing bandwidth usage by transferring only predicted necessary data rather than all possible data.
Data Source
AI summary
The present disclosure provides for predictively allocating computing resources based on movement of a simulation agent through a simulation environment, such as in a video game. In order to support the movement of the simulation agent, computing resources may be allocated in various ways. For example, one option may be to transfer data assets associated with the simulation agent from the first computing resource to the second computing resource. Another option may be leave the data assets at the first computing resource and transfer authority over at least a portion of the second region from the second computing resource to the first computing resource. In various embodiments, the way in which the computing resources are allocated may be determined based on various factors, such as resource costs, so that the movement of the simulation agent can be supported with optimal system efficiency.