Your client has developed a machine learning model that detects anomalies in equity trading time-series data. The model runs as a service in a Google Kubernetes Engine (GKE) cluster deployed in the us-west-1 region. A number of financial institutions in New York and London are interested in licensing the technology, but they are concerned that the total time required to make a prediction is longer than they can tolerate. The distance between the serving infrastructure and New York is about 4,800 kilometers, and the distance to London is about 8,000 kilometers. This is an example of what kind of problem with serving a machine learning model?