MiFi: Bounded Update to Optimize Network Performance in Software-Defined Data Centers-Reference-Cited by-同舟云学术

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MiFi: Bounded Update to Optimize Network Performance in Software-Defined Data Centers

Published:2023-02 Issue:1 Volume:31 Page:322-335
ISSN:1063-6692
Container-title:IEEE/ACM Transactions on Networking
language:
Short-container-title:IEEE/ACM Trans. Networking

Author:

Majidi Akbar¹^ORCID,Gao Xiaofeng¹^ORCID,Zhu Shunjia²,Jahanbakhsh Nazila¹,Zheng Jiaqi³^ORCID,Chen Guihai¹

Affiliation:

1. Department of Computer Science and Engineering, MoE Key Laboratory of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China

2. Product Research and Development and Infrastructure, Bytedance Inc, Shanghai, China

3. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Shanghai Municipal Science and Technology Major Project

Science Foundation Ireland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/90/10045328/09844665.pdf?arnumber=9844665

Reference50 articles.

1. Stochastic Network Optimization with Application to Communication and Queueing Systems

2. DC-ECN: A machine-learning based dynamic threshold control scheme for ECN marking in DCN

4. ECN+: A marking-aware optimization for ECN threshold via per-Port in Data Center Networks

5. Controlling flow reconfigurations in SDN

Cited by 4 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. Flow optimization strategies in data center networks: A survey;Journal of Network and Computer Applications;2024-06

2. SDN-based Connectivity Restoration for Partitioned Flying Ad hoc Networks;2023 9th International Conference on Computer and Communications (ICCC);2023-12-08

3. Adjusting ECN marking threshold in multi-queue DCNs with deep learning;The Journal of Supercomputing;2022-10-23

4. JHTD: An Efficient Joint Scheduling Framework Based on Hypergraph for Task Placement and Data Transfer Across Geographically Distributed Data Centers;IEEE Access;2022

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