Artificial neural network for balancing workload by migrating computing tasks across hosts

A system for balancing a computing workload, where the system is adapted for use with at least two hosts that are configured to migrate computing tasks among themselves, the system comprising:

• an artificial neural network (ANN), configured to process training data that is based on a distribution over time of a computing workload for a particular one of the hosts, and configured to predict a predicted workload for the particular host when the system is operating in a prediction mode, where the particular host has a proactive operating range;
• and
• a workload controller configured to send an indication to the hosts to migrate at least one of the computing tasks away from the particular host, when the system is operating in a proactive mode and when the predicted workload is outside of the proactive operating range.

A system adapted for use with a host means operable to migrate computing tasks among particular hosts within the host means, the system comprising:

• artificial neural network (ANN) means for training, when operating in a training mode, where training data for the ANN is based on a distribution over time of a computing workload for a particular one of the hosts within the host means, and where the ANN means is further a means for predicting, when operating in a prediction mode, a predicted workload for the particular host means;
• and
• control means for sending, when operating in a proactive mode, an indication to the host means to migrate at least one virtual machine (VM) away from the particular host when the predicted workload is outside of a proactive operating range for the particular host means.