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For large models (# LSPs is large, say 11000), this call below takes a long time to run:
lsp.traffic_on_lsp(model)
I think we can get around this by storing info when we converge the model. I need to look at the source code more, but perhaps adding a _traffic_on_lsp list attribute to the RSVP_LSP when converging the model to store the demands and proportions on the RSVP_LSP so it does not have to be recomputed again.
I'm not sure this is possible, but look into it.
The text was updated successfully, but these errors were encountered:
For large models (# LSPs is large, say 11000), this call below takes a long time to run:
lsp.traffic_on_lsp(model)
I think we can get around this by storing info when we converge the model. I need to look at the source code more, but perhaps adding a _traffic_on_lsp list attribute to the RSVP_LSP when converging the model to store the demands and proportions on the RSVP_LSP so it does not have to be recomputed again.
I'm not sure this is possible, but look into it.
The text was updated successfully, but these errors were encountered: