AQUATOPE
Publication
AQUATOPE: QoS-and-Uncertainty-Aware Resource Management for Multi-Stage Serverless Workflows.
@inproceedings{10.1145/3567955.3567960,
author = {Zhou, Zhuangzhuang and Zhang, Yanqi and Delimitrou, Christina},
title = {AQUATOPE: QoS-and-Uncertainty-Aware Resource Management for Multi-Stage Serverless Workflows},
year = {2022},
isbn = {9781450399159},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3567955.3567960},
doi = {10.1145/3567955.3567960},
pages = {1–14},
numpages = {14},
keywords = {resource management, machine learning for systems, quality of service, resource allocation, datacenter, function-as-a-service, serverless computing, Cloud computing, resource efficiency},
location = {Vancouver, BC, Canada},
series = {ASPLOS 2023}
}