I've had some success using the worker pull pattern to process time series data 
in a particular "channel". A channel job actor builds the queue of time chunks 
for a work pull master and workers work on chunks of time.

Now I wish to process multiple (possibly millions of) channels in parallel and 
am wondering whether to a) repeat the pattern, treating a page  of channels as 
the work queue item, where the page workers would spawn a channel job per 
channel, or b) use something else like routers or balancing dispatcher. Any 
tips?

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