Unreal Engine’s Real-time Streaming (R.Streaming) feature allows developers to create live, interactive content in real-time and distribute it to multiple devices simultaneously. One of the most important aspects of R.Streaming is optimizing the performance of your application by selecting the right pool size. In this article, we will explore the different factors that affect pool size and determine what is the optimal pool size for Unreal Engine R.Streaming.
What is a Pool in Unreal Engine?
A pool in Unreal Engine refers to a pre-allocated memory space used by the engine to store data related to an object or component. Pools are an important concept in R.Streaming because they allow you to manage memory efficiently and avoid performance issues such as memory fragmentation, which can occur when memory is allocated and freed in small pieces.
Factors Affecting Pool Size
Several factors affect the pool size in Unreal Engine. Here are some of the most important ones:
- Number of Components
- Object Type and Complexity
- Streaming Settings
Optimal Pool Size for R.Streaming
So, what is the optimal pool size for Unreal Engine R.Streaming? The answer depends on several factors, including the specific requirements of your application, the hardware you are using, and the network infrastructure you have in place. However, here are some general guidelines that can help you determine the right pool size:
- Start with a Small Pool Size
- Adjust Pool Size Based on Load
- Use Profiling Tools
- Experiment with Different Pool Sizes