Explainable Learning-Based Timeout Optimization for Accurate and Efficient Elephant Flow Prediction in SDNs

Explainable Learning-Based Timeout Optimization for Accurate and Efficient Elephant Flow Prediction in SDNs

Accurately and efficiently predicting elephant flows (elephants) is crucial for optimizing network performance and resource utilization. Current prediction approaches for software-defined networks (SDNs) typically rely on complete traffic and statistics moving from switches to controllers. This lead...

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Bibliographic Details
Main Authors: Ling Xia Liao, Changqing Zhao, Roy Xiaorong Lai, Han-Chieh Chao
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
explainable learning algorithms
logistic regression
Bayesian optimization
elephant flow prediction
flow entry timeout
statistics sampling
Online Access:https://www.mdpi.com/1424-8220/24/3/963

Internet

https://www.mdpi.com/1424-8220/24/3/963

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