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A bit more detail on the problem is in order I see :)<br><br>Each incoming transaction spwawns a process that handles it up to a<br>point where output is generated. We need to be able to handle large<br>volumes of transactions in a short time in bursts (SMS system using<br>oserl http://oserl.sourceforge.net/)<br>Each process needs to interpret the transaction content based on a set<br>of configuration data. Unfortunately the entrie config set is needed<br>for this and it could be as large as 5k (worst case, 1-2k is probably<br>more realistic.)<br>Some quick profiling shows that we can expect in the order of thousands<br>of processes active at the same time, making the memory overhead a<br>problem.<br>In order to keep the processing speed as fast as possible I want as many<br>prallel processes as I can manage. Obviosly if I can get clever with<br>the config data, this would mean more processes. Failing that, I will<br>have to place a lower limit on the number of processes so that they will<br>fit into memory or to prevent memory churn.<br><br>From the coments up to now it seems that I am most likely going to have<br>to be satisfied with passing the config data as a parameter to the<br>function that executes in each thread and rely on the GC to keep things<br>sane.<br><br>-]-[einrich
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