Decode the workload: Training deep learning models for efficient compute cluster representation

This paper addresses the challenge of efficiently representing compute cluster workloads using deep learning. We develop models that capture the essential characteristics of workload patterns, enabling better prediction and resource allocation decisions.

EPJ Web of Conferences, Volume 337, Article 01120