Title
Anomaly-tolerant Network Traffic Estimation via Noise-immune Temporal Matrix Completion Model
Abstract
Accurately estimating origin-destination (OD) network traffic is crucial for network management and capacity planning. However, the potential network anomaly and complex noise make this goal difficult to achieve. Existing network traffic estimation methods usually impute network traffic independent of anomaly detection, which ignores the potential relationship between the two tasks to help each ot...
Year
DOI
Venue
2019
10.1109/JSAC.2019.2904347
IEEE Journal on Selected Areas in Communications
Keywords
Field
DocType
Estimation,Matrix decomposition,Sparse matrices,Pollution measurement,Task analysis,Computational modeling,Anomaly detection
Anomaly detection,Gradient descent,Matrix completion,Expectation–maximization algorithm,Computer science,Outlier,Algorithm,Capacity planning,Real-time computing,Network management,Scalability
Journal
Volume
Issue
ISSN
37
6
0733-8716
Citations 
PageRank 
References 
4
0.42
0
Authors
5
Name
Order
Citations
PageRank
Xiao Fu127325.50
Lei Chen 00112322.19
Hai Zhu38722.69
Richang Hong44791176.47
Ruchuan Wang541464.49