Power services scheduling algorithm based on quantum communication

Zhuozhi YU; Yefeng ZHANG; Bingyang HAN; Wenwei CHEN; Dong WANG

doi:10.11959/j.issn.1000-0801.2019279

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Power services scheduling algorithm based on quantum communication

Power informatization column | 更新时间：2024-06-05

- Power services scheduling algorithm based on quantum communication
- Telecommunications Science Vol. 35, Issue 11, Pages: 108-116(2019)
- 作者机构：
- 作者简介：
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- DOI：10.11959/j.issn.1000-0801.2019279
  CLC： TP393
- Published Online：2019-11，
  
  Published：20 November 2019
- 稿件说明：
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Zhuozhi YU, Yefeng ZHANG, Bingyang HAN, et al. Power services scheduling algorithm based on quantum communication[J]. Telecommunications science, 2019, 35(11): 108-116.
DOI：

Zhuozhi YU, Yefeng ZHANG, Bingyang HAN, et al. Power services scheduling algorithm based on quantum communication[J]. Telecommunications science, 2019, 35(11): 108-116. DOI： 10.11959/j.issn.1000-0801.2019279.

摘要

量子通信能够有效提高电力业务传输的可靠性与安全性，但由于量子密钥成码率低，难以满足重要电力业务的加密需求，因此，需要一种队列调度算法对量子通信中的待加密电力业务进行合理调度。提出了一种改进的加权公平队列（weighted fair queuing，WFQ）算法LD-WFQ，算法通过估计待加密数据分组的预计耗时，优先处理即将超时的待加密数据分组，在保持高优先级业务量子加密时延达标率的基础上，有效降低了低优先级业务的量子加密超时率。与WFQ算法进行仿真对比，结果证明了LD-WFQ算法的优越性。

Abstract

Quantum communication could effectively improve the transmission’s reliability and security of power system services.However

limited by the generating rate of quantum key

it was difficult to meet the encryption requirements of important services.Therefore

a queue scheduling algorithm was required to legitimately schedule the power system services which need to be encrypted in quantum communication.An improved weighted fair queuing (weighted fair queuing

WFQ) algorithm LD-WFQ was proposed.By estimating the expected delay of the data packets to be encrypted

sending the packets that would soon be timeout

the proposed algorithm effectively reduced the timeout ratio of the packets and improved the effective utilization of quantum keys

while maintaining the timeout ratio of the packets in high priority queue at a low level.Compared with the WFQ algorithm

the simulation result proves the superiority of LD-WFQ algorithm.

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references

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