Self-Adaptive Sampling Based Per-Flow Traffic Measurement-Reference-Cited by-同舟云学术

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Self-Adaptive Sampling Based Per-Flow Traffic Measurement

Published:2022 Issue: Volume: Page:1-16
ISSN:1063-6692
Container-title:IEEE/ACM Transactions on Networking
language:
Short-container-title:IEEE/ACM Trans. Networking

Author:

Du Yang¹^ORCID,Huang He¹^ORCID,Sun Yu-E²^ORCID,Chen Shigang³^ORCID,Gao Guoju¹^ORCID,Wu Xiaocan¹^ORCID

Affiliation:

1. School of Computer Science and Technology, Soochow University, Suzhou, China

2. School of Rail Transportation, Soochow University, Suzhou, China

3. Department of Computer and Information of Science and Engineering, University of Florida, Gainesville, FL, USA

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Jiangsu Planned Projects for Postdoctoral Research Funds

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/ielx7/90/4359146/09918633.pdf?arnumber=9918633

Cited by 3 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. Persistent Sketch: A Memory-Efficient and Robust Algorithm for Finding Top-k Persistent Flows;Lecture Notes in Computer Science;2024

2. A Decentralized Oracle Architecture for a Blockchain-Based IoT Global Market;IEEE Communications Magazine;2023-08

3. Traffic-Aware Energy-Efficient Resource Allocation for RSMA Based UAV Communications;IEEE Transactions on Network Science and Engineering;2023

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