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Urban Advanced Mobility Dependability: A Model-Based Quantification on Vehicular Ad Hoc Networks with Virtual Machine Migration.
Silva, Luis Guilherme; Cardoso, Israel; Brito, Carlos; Barbosa, Vandirleya; Nogueira, Bruno; Choi, Eunmi; Nguyen, Tuan Anh; Min, Dugki; Lee, Jae Woo; Silva, Francisco Airton.
Afiliación
  • Silva LG; Coordination of the Information Systems Course, Technical College of Teresina (CSHNB), Federal University of Piauí (UFPI), Picos 64049-550, Piauí, Brazil.
  • Cardoso I; Coordination of the Information Systems Course, Technical College of Teresina (CSHNB), Federal University of Piauí (UFPI), Picos 64049-550, Piauí, Brazil.
  • Brito C; Coordination of the Information Systems Course, Technical College of Teresina (CSHNB), Federal University of Piauí (UFPI), Picos 64049-550, Piauí, Brazil.
  • Barbosa V; Coordination of the Information Systems Course, Technical College of Teresina (CSHNB), Federal University of Piauí (UFPI), Picos 64049-550, Piauí, Brazil.
  • Nogueira B; Instituto de Computação, Federal University of Alagoas (UFAL), Maceió 57072-900, Alagoas, Brazil.
  • Choi E; School of Software, College of Computer Science, Kookmin University, Seoul 02707, Republic of Korea.
  • Nguyen TA; Konkuk Aerospace Design-Airworthiness Research Institute (KADA), Konkuk University, Seoul 05029, Republic of Korea.
  • Min D; Department of Computer Science and Engineering, College of Engineering, Konkuk University, Seoul 05029, Republic of Korea.
  • Lee JW; Department of Aerospace Information Engineering, Konkuk University, Seoul 05029, Republic of Korea.
  • Silva FA; Coordination of the Information Systems Course, Technical College of Teresina (CSHNB), Federal University of Piauí (UFPI), Picos 64049-550, Piauí, Brazil.
Sensors (Basel) ; 23(23)2023 Nov 28.
Article en En | MEDLINE | ID: mdl-38067858

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Suiza