Multi-Tenant Provisioning for Quantum Key Distribution Networks with Heuristics and Reinforcement Learning: A Comparative Study
Artikel i vetenskaplig tidskrift, 2020

Quantum key distribution (QKD) networks are potential to be widely deployed in the immediate future to provide long-term security for data communications. Given the high price and complexity, multi-tenancy has become a cost-effective pattern for QKD network operations. In this work, we concentrate on addressing the online multi-tenant provisioning (On-MTP) problem for QKD networks, where multiple tenant requests (TRs) arrive dynamically. On-MTP involves scheduling multiple TRs and assigning non-reusable secret keys derived from a QKD network to multiple TRs, where each TR can be regarded as a high-security-demand organization with the dedicated secret-key demand. The quantum key pools (QKPs) are constructed over QKD network infrastructure to improve management efficiency for secret keys. We model the secret-key resources for QKPs and the secret-key demands of TRs using distinct images. To realize efficient On-MTP, we perform a comparative study of heuristics and reinforcement learning (RL) based On-MTP solutions, where three heuristics (i.e., random, fit, and best-fit based On-MTP algorithms) are presented and a RL framework is introduced to realize automatic training of an On-MTP algorithm. The comparative results indicate that with sufficient training iterations the RL-based On-MTP algorithm significantly outperforms the presented heuristics in terms of tenant-request blocking probability and secret-key resource utilization.

Quantum key distribution networks

online multi-tenant provisioning

reinforcement learning

heuristics

Författare

yuan cao

Beijing University of Posts and Telecommunications (BUPT)

Yongli Zhao

Beijing University of Posts and Telecommunications (BUPT)

Jun Li

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Optiska nätverk

Rui Lin

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Optiska nätverk

Jie Zhang

Beijing University of Posts and Telecommunications (BUPT)

Jiajia Chen

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Optiska nätverk

IEEE Transactions on Network and Service Management

1932-4537 (ISSN)

Vol. 17 2 946-957 8950200

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Kommunikationssystem

Reglerteknik

Datorsystem

DOI

10.1109/TNSM.2020.2964003

Mer information

Senast uppdaterat

2021-01-29