Performance and energy consumption optimization of ternary optical computers based on the M/G/1 queuing model

This study addresses quality-of-service (QoS) and energy-consumption challenges in Ternary Optical Computer (TOC) by proposing a novel three-phase service model. The model integrates an M/G/1 queuing system with an Ν-policy and multiple vacation mechanisms into the TOC service framework for the first time. In this system, the server enters a vacation state when idle and resumes service immediately when the number of customers reaches a predetermined threshold Ν. We perform an in-depth analysis of the third phase using stochastic-decomposition methods to model precisely the steady-state queue length. For the first and second phases, we employ an approximate analysis to balance computational complexity and accuracy, yielding the system's average queue length. By applying Little's Law, we then derive an expression for the overall system's sojourn time. Furthermore, we utilize the Renewal Reward Theorem to construct a cost function representing TOC energy consumption, and perform numerical experiments to identify the optimal threshold Ν. Our results demonstrate that the proposed model significantly reduces energy consumption while maintaining satisfactory system performance, offering new theoretical insights and practical guidelines for dual-objective optimization in TOC.

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Publication Details

Journal
Scientific Reports
Published
2026-03-05
DOI
https://doi.org/10.1038/s41598-026-42496-x
Primary Topic
Advanced Optical Network Technologies
Type
article
Field-Weighted Citation Impact
0.00

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Performance and energy consumption optimization of ternary optical computers based on the M/G/1 queuing model

ZHANG Heqiang, Meng Liu, Zhang Sulan, Wang Xianchao et al.
Scientific Reports
Advanced Optical Network Technologies
article

Performance and energy consumption optimization of ternary optical computers based on the M/G/1 queuing model

ZHANG Heqiang, Meng Liu, Zhang Sulan, Wang Xianchao, Shi Wenqiang, Liu Weiwen
article en

Abstract

This study addresses quality-of-service (QoS) and energy-consumption challenges in Ternary Optical Computer (TOC) by proposing a novel three-phase service model. The model integrates an M/G/1 queuing system with an Ν-policy and multiple vacation mechanisms into the TOC service framework for the first time. In this system, the server enters a vacation state when idle and resumes service immediately when the number of customers reaches a predetermined threshold Ν. We perform an in-depth analysis of the third phase using stochastic-decomposition methods to model precisely the steady-state queue length. For the first and second phases, we employ an approximate analysis to balance computational complexity and accuracy, yielding the system's average queue length. By applying Little's Law, we then derive an expression for the overall system's sojourn time. Furthermore, we utilize the Renewal Reward Theorem to construct a cost function representing TOC energy consumption, and perform numerical experiments to identify the optimal threshold Ν. Our results demonstrate that the proposed model significantly reduces energy consumption while maintaining satisfactory system performance, offering new theoretical insights and practical guidelines for dual-objective optimization in TOC.

Scientific Reports
Fuyang Normal University (CN), Anhui University (CN), Jiaxing University (CN)
National Natural Science Foundation of China, Fuyang Normal University
Affordable and clean energy
Openalex Percentile: Top 34%
Advanced Optical Network Technologies
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