Originally posted by: baohu

Hi I am trying IBM Decision Optimization on Cloud via trial account recently

I have one optimization model  A.mod

Two data set: 1.dat, 2 dat

When tried to solve 1.dat on locacl machine (4 core , 8G memory) the solving time is faster than solved on cloud

when tried to solve 2.dat on loacal machine the solving time is slower than solved on cloud

I assumed that solving time on cloud should always be faster. But why the above situations happened?

I think this is expected behavior. Since MIP solving involves a lot of heuristics and depends on things like number of cores etc., it may well be that performance of different machines is different for different data sets. Could you post the 4 engine log files for your experiments? This may allow us to explain what exactly is happening.