Work

Unlocking Reconfigurability for Deep Reinforcement Learning in SFC Provisioning

Year: 2024

Type: article

Source: IEEE Networking Letters

DOI: 10.1109/lnet.2024.3400764

Authors: Murat Arda Onsu, Poonam Lohan, Burak Kantarci, Emil Janulewicz, Sergio Slobodrian

Institutions: University of Ottawa, Ciena (Canada)

Language: English

Topic: Software-Defined Networks and 5G

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: Mitacs, Natural Sciences and Engineering Research Council of Canada

Awards: G4989129084, G6094552576

OpenAlex ID: W4396852896

FWCI: 1.422

Cites: 11

Cited by: 11

Related to: 10