Systems and methods for automatic placement of microservices with reinforcement learning. Actions for an agent based on states and an associated reward for the actions based on the cost and latency of microservices of a distributed computing application can be learned by a reinforcement learning model. An optimal action based on the actions having the top ranked associated reward that maximizes a reward value based on the cost and the latency of microservices can be generated with the reinforcement learning model. The microservices can be placed to an optimal location that satisfies the latency and the cost of the microservices within a cloud and edge computing environment based on the optimal action.


    Access

    Download


    Export, share and cite



    Title :

    AUTOMATIC PLACEMENT OF MICROSERVICES WITH REINFORCEMENT LEARNING


    Contributors:

    Publication date :

    2025-06-19


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung




    Adaptive Function Placement with Distributed Deep Reinforcement Learning in RAN Slicing

    Tsukamoto, Yu / Hirayama, Haruhisa / Il Moon, Seung et al. | IEEE | 2022


    Reinforcement learning and automatic categorization

    Porta, Josep M. / Celaya, Enric | BASE | 1999

    Free access

    Microservices to Reduce Ship Emissions?

    Cady, Charles-Edouard | TIBKAT | 2019