CERES: Container-Based Elastic Resource Management System for Mixed Workloads-Reference-Cited by-同舟云学术

CERES: Container-Based Elastic Resource Management System for Mixed Workloads

Published:2021-08-09 Issue: Volume: Page:
ISSN:
Container-title:50th International Conference on Parallel Processing
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Author:

Yu Jinyu¹,Feng Dan¹,Tong Wei¹,Lv Pengze¹,Xiong Yufei¹

Affiliation:

1. Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, China

Funder

Fundamental Research Funds for the Central Universities

National Science and Technology Major Project

Zhejiang Lab

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3472456.3472459

Reference39 articles.

1. Mansaf Alam Kashish Ara Shakil and Shuchi Sethi. 2015. Analysis and Clustering of Workload in Google Cluster Trace based on Resource Usage. arxiv:1501.01426 Mansaf Alam Kashish Ara Shakil and Shuchi Sethi. 2015. Analysis and Clustering of Workload in Google Cluster Trace based on Resource Usage. arxiv:1501.01426

2. Alibaba. 2018. Alibaba Cluster Trace Data. https://github.com/alibaba/clusterdata Alibaba. 2018. Alibaba Cluster Trace Data. https://github.com/alibaba/clusterdata

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