Motion Prediction for Online Gaming. Rynson W.H. Lau May 14, 2011. 1. Network Latency. According to our earlier experiments, the one-way network latency values for different network connections are shown as follows:. May need to consider other overheads, such as I/O and CPU.
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Rynson W.H. Lau
May 14, 2011
May need to consider other overheads, such as I/O and CPU.
Roughly two types of motion prediction methods:
In general, specialized prediction methods are more accurate but are only suitable for predicting motion of specific objects.
For mobile handovers -
For bandwidth optimization -
To find an optimal path to move from one place to another while satisfying some predefined constraints.
Given the boundary position that a user enters the zone, we compute the conditional probability that the user will leave the zone at a particular boundary position.
where n is the number of mixture,
fi(y; Ci, mi) is the ith Gaussian distribution function, with covariance Ci and mean mi,
0 <ai< 1, and
[Choi02] computes the probability of the user moving to different neighboring zones based on the user’s previous and current zones.
An interesting feature of this method is that we may consider a zone as a basic block.
When applied to our streaming-based DVE, the two types of prediction methods have different behaviors:
One approach that we are considering is to combine the two types of predictors to optimize the prefetching performance: