A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration

arXiv:2404.12498v1 Announce Type: new
Abstract: There have been growing discussions on estimating and subsequently reducing the operational carbon footprint of enterprise data centers. The design and intelligent control for data centers have an important impact on data center carbon footprint. In this paper, we showcase PyDCM, a Python library that enables extremely fast prototyping of data center design and applies reinforcement learning-enabled control with the purpose of evaluating key sustainability metrics including carbon footprint, energy consumption, and observing temperature hotspots. …

abstract arxiv carbon carbon footprint center control cooling cs.ai cs.lg cs.sy data data center data centers design discussions eess.sy enterprise impact integration intelligent paper python sustainable type