Carbon Responder: Coordinating Demand Response for the Datacenter Fleet
Jiali Xing, Bilge Acun, Aditya Sundarrajan, David Brooks, Manoj, Chakkaravarthy, Nikky Avila, Carole-Jean Wu, Benjamin C. Lee

TL;DR
The paper introduces Carbon Responder, a framework for demand response in datacenters that reduces carbon footprint by coordinating power usage across diverse workloads with different objectives, using novel policies.
Contribution
It presents a new demand response framework that considers heterogeneous workloads and develops performance models for fair and efficient power allocation.
Findings
Efficient policy reduces carbon footprint by ~2x compared to baselines.
Fair policies distribute penalties and carbon reduction responsibilities equitably.
Framework supports online and batch workloads with different service levels.
Abstract
The increasing integration of renewable energy sources results in fluctuations in carbon intensity throughout the day. To mitigate their carbon footprint, datacenters can implement demand response (DR) by adjusting their load based on grid signals. However, this presents challenges for private datacenters with diverse workloads and services. One of the key challenges is efficiently and fairly allocating power curtailment across different workloads. In response to these challenges, we propose the Carbon Responder framework. The Carbon Responder framework aims to reduce the carbon footprint of heterogeneous workloads in datacenters by modulating their power usage. Unlike previous studies, Carbon Responder considers both online and batch workloads with different service level objectives and develops accurate performance models to achieve performance-aware power allocation. The framework…
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Taxonomy
TopicsCloud Computing and Resource Management · Caching and Content Delivery · Green IT and Sustainability
