Our benchmark testing is ongoing and the initial results are extremely promising vs off the shelf LND.
In a dynamic graph like Lightning, the need for advanced computation is even greater.
By "off the shelf LND", do you mean a new LND node that has not yet built a robust probabilistic routing model?
LND uses probabilistic routing to build a local model of payment success probabilities for every attempted path. After many payment attempts, an LND node should optimize its own pathfinding.
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We're testing both zeroed-out mission control and a learned mission control.
Apriori is decidedly difficult to benchmark against!
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