A Framework for SLO, Carbon, and Wastewater-Aware Sustainable FaaS Cloud Platform Management

Function-as-a-Service (FaaS) is a growing cloud computing paradigm that is expected to reduce the user cost of service over traditional serverful approaches. However, the environmental impact of FaaS has not received much attention. We investigate FaaS scheduling and scaling from a sustainability perspective in this work. We find that the service-level objectives (SLOs) of FaaS and carbon emissions conflict with each other. We also find that SLO-focused FaaS scheduling can exacerbate water use in a datacenter. We propose a novel sustainability-focused FaaS scheduling and scaling framework to co-optimize SLO performance, carbon emissions, and wastewater generation.

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Publication Details

Published
2024-11-02
DOI
https://doi.org/10.1109/igsc64514.2024.00015
Citations
1
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.78
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A Framework for SLO, Carbon, and Wastewater-Aware Sustainable FaaS Cloud Platform Management

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A Framework for SLO, Carbon, and Wastewater-Aware Sustainable FaaS Cloud Platform Management

Hayden Moore, Sirui Qi, Sudeep Pasricha, Dejan Milojičić, Cullen Bash, Ninad Hogade
article en
1 citations

Abstract

Function-as-a-Service (FaaS) is a growing cloud computing paradigm that is expected to reduce the user cost of service over traditional serverful approaches. However, the environmental impact of FaaS has not received much attention. We investigate FaaS scheduling and scaling from a sustainability perspective in this work. We find that the service-level objectives (SLOs) of FaaS and carbon emissions conflict with each other. We also find that SLO-focused FaaS scheduling can exacerbate water use in a datacenter. We propose a novel sustainability-focused FaaS scheduling and scaling framework to co-optimize SLO performance, carbon emissions, and wastewater generation.

Hewlett-Packard (United States) (US), Colorado State University (US)
Openalex Percentile: Top 19%
Cloud Computing and Resource Management
0.78
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