Abstract
Predictive load balancing is becoming increasingly relevant with the rapid adoption of machine learning models. Current load balancing approaches only considers the current state of the system, even though the current state of the system often varies. Accordingly, dispatch requests are provided herein which not only consider the current load on the system, but also the future load.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Ragupathy, Manoj and Ma, Xueqiang Sherman, "LONG SHORT TERM MEMORY BASED TOTAL TRAFFIC PREDICTION FOR CONTAINER LOAD BALANCING", Technical Disclosure Commons, (April 11, 2018)
https://www.tdcommons.org/dpubs_series/1158
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