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Milad Rafiee
PeerJ Author
135 Points

Contributions by role

Author 135

Contributions by subject area

Computer Networks and Communications
Distributed and Parallel Computing

Milad Rafiee

PeerJ Author

Summary

Milad Rafiee is a PhD Research Fellow at UiO, specialising in service and resource orchestration for Edge computing environments. His research focuses on resource prediction and the auto-scaling of Cloud-Native Network Functions (CNFs) in Edge networks, with a primary objective of minimising latency through applied AI algorithms that dynamically manage network resources and optimise service delivery efficiency. His expertise includes data analytics algorithms, SDN, Kubernetes, and Docker.

Computer Networks & Communications Distributed & Parallel Computing

Past or current institution affiliations

Bou-Ali Sina University

Work details

Lecturer and Research Assistant

Bou-Ali Sina University
computer engineering

Websites

  • researchgate
  • LinkedIn
  • Google Scholar

PeerJ Contributions

  • Articles 1
April 15, 2019
Enhancing the performance of the aggregated bit vector algorithm in network packet classification using GPU
Mahdi Abbasi, Razieh Tahouri, Milad Rafiee
https://doi.org/10.7717/peerj-cs.185