Co-Scheduler: A Coflow-Aware Data-Parallel Job Scheduler in Hybrid Electrical/Optical Datacenter Networks-Reference-Cited by-同舟云学术

Co-Scheduler: A Coflow-Aware Data-Parallel Job Scheduler in Hybrid Electrical/Optical Datacenter Networks

Published:2022-08 Issue:4 Volume:30 Page:1599-1612
ISSN:1063-6692
Container-title:IEEE/ACM Transactions on Networking
language:
Short-container-title:IEEE/ACM Trans. Networking

Author:

Li Zhuozhao¹^ORCID,Shen Haiying²^ORCID

Affiliation:

1. Department of Computer Science and Engineering and the Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China

2. Department of Computer Science, University of Virginia, Charlottesville, VA, USA

Funder

U.S. National Science Foundation

Microsoft Research Faculty Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Software

Link

https://ieeexplore.ieee.org/ielam/90/9859542/9695973-aam.pdf

Reference62 articles.

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4. Job scheduling with the fair and capacity schedulers;zaharia;Hadoop Summit,2009

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