colinmjj commented on issue #89:
URL: 
https://github.com/apache/incubator-uniffle/issues/89#issuecomment-1196400738

   @smallzhongfeng The workload of Shuffle Server depends on a lot of things, 
eg, Memory, Disk IO, NetworkIO, etc. To simplify the assignment strategy, 
memory is chosen as the most important metric, because any problem in shuffle 
server will cause much memory usage. For your case, if there has problem in 
Disk IO, data won't be flushed as expected, and more and more data will be 
stored in memory.
   Uniffle is kind of producer & consumer model, and memory is the cache, I 
think we can check the workload according to memory usage and do the assignment.


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