TÓPICO 6 — Asset I/O & Streaming
Título
Battlefield 6 – Next-Generation Asset I/O & Streaming Architecture
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Technical Proposal: High-Throughput Asset I/O, Decompression and Streaming
Battlefield maps continuously move large amounts of data.
Textures, geometry, destruction assets, audio, effects and environmental resources must be loaded while players move rapidly through the battlefield.
Therefore, storage performance is not only about loading screens.
It can also affect runtime consistency.
1. Asynchronous I/O
Asset requests should avoid unnecessarily blocking gameplay-critical CPU threads.
The storage pipeline should be able to process many asynchronous requests efficiently while gameplay continues.
2. Prioritized Streaming
Not every asset has equal urgency.
The engine could classify requests based on importance.
Examples:
Immediate player surroundings.
Visible geometry.
Nearby destruction assets.
Weapons and vehicles.
Audio required immediately.
Distant or predicted assets.
High-priority requests should be processed before background data.
3. Predictive Prefetching
Battlefield has useful contextual information that could assist prefetching.
Player direction.
Vehicle speed.
Current objective.
Camera direction.
Upcoming map sectors.
Likely traversal paths.
These signals could help load assets before they become immediately necessary.
4. Decompression Scheduling
Compressed assets reduce storage requirements but must be decompressed before use.
The engine should measure where decompression occurs and whether CPU decompression becomes a bottleneck.
Platform-appropriate accelerated decompression could be evaluated where available.
5. CPU/GPU Upload Pipeline
The full pipeline should be profiled:
Storage → read queue → decompression → system memory → GPU upload → residency.
Optimizing only one stage may simply move the bottleneck to the next stage.
6. Memory Residency
Frequently needed assets should remain resident when beneficial.
At the same time, the engine must prevent uncontrolled RAM or VRAM growth.
Streaming and residency budgets should therefore work together.
Metrics
I/O request latency.
Queue depth.
Data throughput.
Decompression time.
CPU cost of streaming.
GPU upload time.
Streaming misses.
Texture or geometry late-arrival events.
Runtime hitch frequency.
RAM pressure.
VRAM pressure.
Final Objective
Battlefield should treat storage, decompression, memory and GPU residency as one continuous data pipeline.
The objective is not simply faster loading screens.
The objective is fewer runtime stalls and more predictable frame delivery while traversing large and complex maps.
Microsoft's DirectStorage documentation illustrates why this class of architecture matters: high-speed NVMe storage can issue very large numbers of small reads, while traditional I/O and decompression can generate substantial CPU overhead. It also demonstrates GPU and CPU decompression paths. This is an architectural example, not a demand that Frostbite adopt one named API
