Deep Learning Models for Automated Identification of Scheduling Policies

Queueing network models are commonly used as performance models of distributed software applications and service-based systems. Although several methods exist for learning their parameters, such as demand estimation methods, little research has been carried out in the literature on automatically identifying scheduling policies from empirical datasets. Scheduling policies and their parameters have ...