Flow-level Tail Latency Estimation and Verification based on Extreme Value Theory-Reference-Cited by-同舟云学术

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Flow-level Tail Latency Estimation and Verification based on Extreme Value Theory

Published:2022-10-31 Issue: Volume: Page:
ISSN:
Container-title:2022 18th International Conference on Network and Service Management (CNSM)
language:
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Author:

Helm Max¹,Wiedner Florian¹,Carle Georg¹

Affiliation:

1. Technical University of Munich,Department of Informatics,Munich

Funder

Ministry of Economic Affairs

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9964474/9964490/09964525.pdf?arnumber=9964525

Reference17 articles.

1. Dynamic Task Offloading and Resource Allocation for Ultra-Reliable Low-Latency Edge Computing

2. Reliability-Optimal Offloading in Low-Latency Edge Computing Networks: Analytical and Reinforcement Learning Based Designs

3. HVNet: Hardware-Assisted Virtual Networking on a Single Physical Host

4. HVNet: Hardware-Assisted Virtual Networking on a Single Physical Host

5. On the Sustainability of the Extreme Value Theory for WCET Estimation;santinelli;14th International Workshop on Worst-Case Execution Time Analysis Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik,2014

Cited by 1 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. Containing Low Tail-Latencies in Packet Processing Using Lightweight Virtualization;2023 35th International Teletraffic Congress (ITC-35);2023-10-03

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