DCGen 1.1 Technical Report: Generating Datacenter Configurations (including IT, Power, Cooling)
Wedan Emmanuel Gnibga, Andrew A. Chien

TL;DR
DCGen is a tool that generates realistic datacenter configurations across various scales and use cases, supporting research on hardware, cooling, power, and grid interactions.
Contribution
It introduces a flexible, realistic datacenter configuration generator that captures complex interdependencies for research and scenario analysis.
Findings
Supports modeling of power, energy, and space at rack and datacenter levels.
Enables scenario exploration for power density evolution and grid interactions.
Produces realistic mixes of server types for AI and cloud workloads.
Abstract
Diversification of digital applications and workloads has driven the development of diverse datacenter architectures on ever-larger scales. These datacenters consist of complex IT, power, and cooling systems with interdependencies that influence configuration and performance. As datacenters scale and power density increase, designing realistic models becomes more difficult, particularly for research, because it requires understanding all layers of the datacenter and how they interact. Consequently, many studies rely on outdated or unrealistic designs. To support research in datacenter hardware design principles, operational dynamics, cooling mechanisms, and interactions of these facilities with the electrical grid, we have designed DCGen, a tool which can generate a variety of datacenter configurations (including IT hardware, cooling and power distribution infrastructures) at various…
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