Understanding, predicting and scheduling serverless workloads under partial interference-Reference-Cited by-同舟云学术

Understanding, predicting and scheduling serverless workloads under partial interference

Published:2021-11-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
language:
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Author:

Zhao Laiping¹,Yang Yanan¹,Li Yiming¹,Zhou Xian¹,Li Keqiu¹

Affiliation:

1. Tianjin University

Funder

National Natural Science Foundation of China

State Key Lab. of Computer Architecture (ICT, CAS)

new Generation of Artificial Intelligence Science and Technology Major Project of Tianjin

NUDT-PDL

State Key Lab. of Communication Content Cognition fund

National Key Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3458817.3476215

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3. Prophet: Precise QoS Prediction on Non-Preemptive Accelerators to Improve Utilization in Warehouse-Scale Computers;Chen Quan;SIGOPS Oper. Syst. Rev.,2017

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