rafaelweingartner commented on issue #2189: CLOUDSTACK-10006: Internal DRS-like load balancing implementation for Vmware URL: https://github.com/apache/cloudstack/pull/2189#issuecomment-335586546 @nvazquez some pieces of this code are a little familiar to me :) It is great your initiative, and from what I looked into the code of this PR, the ?management model? used here is similar to the one we have in our beta version of Autonomiccs [1], which was developed as a plugin for ACS. As I told you when you tested that solution for Autodesk, it does not scale well? So, we have a dataset [2] that we use to compare our management models, and we have compared this simple solution with a more comprehensive model that we developed a while ago. It turns out that this simple management approach can bring quite some problems in dynamic production environments. In some condition it will be worse than if you were not using anything at all. The dataset and the simulation tool to check the results are public [2], so anyone can check the results ;) The blue bar is one of our management models that was presented at IEEE SERVICES conference in the beginning of this year; the red line is the simple management model we made available at [1], which is similar to the one being introduced here; the yellow line is the unbalance of the cloud environment if one does not use anything at all (relying only on the allocation algorithm, the first fit was used), This figure presents the unbalance of RAM through out time in the dataset.  This figure presents the unbalance of CPU through out time in the dataset  The blue bar, which is one of our management models perform way better because it is a multi-dimensional management model. The message I want to send here is the following: use this solution on your cloud production environment with caution. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
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