Warning: Trying to access array offset on value of type bool in /home/ahernandez/public_html/fi/wp-content/themes/Divi/includes/builder/functions.php on line 2583
Zheng Li | Facultad de Ingeniería UdeC

Académicos

Zheng Li

Bachelor of Engineering in Computer Science and Technology
Ph.D. in Engineering and Computer Science, Australian National University

Profesor Asistente

Mail: imlizheng@gmail.com
Anexo: 3686
Oficina: 308, Ed. Central, Fac. de Ingeniería
Horario de atención a estudiantes: «Students are welcome at any time»
Scopus ID | ResearcherID | ORCID | HomePage | GoogleScholar | Linkedin

Líneas de Investigación

  • (Distributed) Big Data Analytics
  • Edge/Cloud Computing
  • Empirical Software Engineering
  • Performance Engineering

Publicaciones más relevantes

A Dataflow-Driven Approach to Identifying Microservices from Monolithic Applications. Journal of Systems and Software, vol. 157, article no. 110380, November 2019.

A multi-layered performance analysis for cloud-based topic detection and tracking in Big Data applications. Future Generation Computer Systems, vol. 87, pp. 580-590, October 2018.

A Survey on Modeling Energy Consumption of Cloud Applications: Deconstruction, State of the Art, and Trade-off Debates. IEEE Transactions on Sustainable Computing, vol. 2, no. 3, pp. 255-274, July-September 2017.

DoKnowMe: Towards a Domain Knowledge-driven Methodology for Performance Evaluation. ACM SIGMETRICS Performance Evaluation Review, vol. 43, no. 4, pp. 23-32, March 2016.

On the Conceptualization of Performance Evaluation of IaaS Services. IEEE Transactions on Services Computing, vol. 7, no. 4, pp. 628-641, October-December 2014.

Proyectos destacados

University of Concepción Teaching Innovation Project I19-027

Chilean National Fund for Scientific and Technological Development (FONDECYT) Iniciación Project 11180905

The Vice-Rector for Research and Development (VRID) Iniciación Project 218.093.017-1.0 IN

Asignaturas que Imparte

  • Introducción a cloud computing
  • Introducción a la arquitectura de microservicios
  • Métodos de investigación