DPS: Dynamic Pricing and Scheduling for Distributed Machine Learning Jobs in Edge-Cloud Networks

Author:

Zhou Ruiting1ORCID,Wang Ne2ORCID,Huang Yifeng1,Pang Jinlong1ORCID,Chen Hao3

Affiliation:

1. Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China

2. School of Computer Science, Wuhan University, Wuhan, China

3. Huawei, Nanjing, China

Funder

NSFC

Hubei Science Foundation

Compact Exponential Algorithm Project of Huawei

Huawei Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dynamic Pricing: Trends, Challenges and New Frontiers;2024 IEEE International Conference on Contemporary Computing and Communications (InC4);2024-03-15

2. Distributed Analytics For Big Data: A Survey;Neurocomputing;2024-03

3. JointPS: Joint Parameter Server Placement and Flow Scheduling for Machine Learning Clusters;IEEE Transactions on Computers;2023-12

4. Reveal: Robustness-aware VNF placement and request scheduling in edge clouds;Computer Networks;2023-09

5. Eris: An Online Auction for Scheduling Unbiased Distributed Learning Over Edge Networks;IEEE Transactions on Mobile Computing;2023

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