ACM: Accuracy-Aware Collaborative Monitoring for Software-Defined Network-Wide Measurement.

Gu, Jiqing; Song, Chao; Dai, Haipeng; Shi, Lei; Wu, Jinqiu; Lu, Li

Gu, Jiqing; Song, Chao; Dai, Haipeng; Shi, Lei; Wu, Jinqiu; Lu, Li.

Afiliación

Gu J; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Qingshuihe Campus, Chengdu 611731, China.
Song C; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Qingshuihe Campus, Chengdu 611731, China.
Dai H; Department of Computer Science and Technology, Nanjing University, Nanjing 210023, China.
Shi L; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Qingshuihe Campus, Chengdu 611731, China.
Wu J; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Qingshuihe Campus, Chengdu 611731, China.
Lu L; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Qingshuihe Campus, Chengdu 611731, China.

Sensors (Basel) ; 22(20)2022 Oct 18.

Article en En | MEDLINE | ID: mdl-36298286

Palabras clave

CountMin sketch; collaborative monitoring; large flows; software-defined network-wide measurement

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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