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Hi Harry, I've updated the table at http://www.unidata.ucar.edu/staff/anne/sunnyLoss.html. This shows the middle 14 hours of about 18 hours of logging on each machine. This time period contained a multihour period of frequent disconnects followed by a multihour time of no disconnects. Regarding latency values, my initial approach was to grab a product from some particular time and use its latency, sort of a snapshot approach. These are the values listed under 'latency'. But, now I think that approach is too narrow. In particular, these values don't appear to correlate with the average and max latency pqbinstats statistics sunny sent in for that time period. Perhaps I need to calculate similar statistics. I was disappointed to find that data loss did not appear to correlate with the disconnect problem. I now think that notifyme, or perhaps the way I'm running notifyme, is not accurate. Again, there was a variation between the total number of products reported by notifyme and that reported by sunny via pqbinstats. It's possible that these notifymes may be running further behind, hence latency values that are consistently higher than those sent by pqbinstats. Perhaps the python script contributes to the problem. The next step would be to track the latencies across connections to see if this one is anamolous or representative. I wish I had more confidence in these results. Thoughts or comments? I'll be meeting with Russ on Friday about these issues (out of the office tomorrow). Anne -- *************************************************** Anne Wilson UCAR Unidata Program address@hidden P.O. Box 3000 Boulder, CO 80307 ---------------------------------------------------- Unidata WWW server http://www.unidata.ucar.edu/ ****************************************************