A New End-To-End Network Traffic Reconstruction Approach Based on Different Time Granularities

Wei Yang; Dingde Jiang; Jianguang Chen; Zhihao Wang; Liuwei Huo; Wenhui Zhao

doi:10.1007/978-3-030-97124-3_10

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A New End-To-End Network Traffic Reconstruction Approach Based on Different Time Granularities

Wei Yang Dingde Jiang Jianguang Chen Zhihao Wang Liuwei Huo Wenhui Zhao

Year: 2022 Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Pages: 111-122

DOI: 10.1007/978-3-030-97124-3_10

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Keywords:

Granularity Computer science Traffic generation model Fractal Real-time computing Network traffic simulation Interpolation (computer graphics) Algorithm Traffic engineering Backbone network Data mining Distributed computing Computer network Network traffic control Mathematics

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Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Advanced Computing and Algorithms

Social Sciences → Social Sciences → Urban Studies

Network Traffic and Congestion Control

Physical Sciences → Computer Science → Computer Networks and Communications

A New End-To-End Network Traffic Reconstruction Approach Based on Different Time Granularities

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