Scholarlink

<p>This paper addresses the core challenge of balancing high real-time performance and low energy consumption in practical ternary optical computer (TOC) systems with hardware-induced state-switching overhead including switching delay and switching energy consumption. By introducing the partially synchronous vacation mechanism, we establish a novel TOC task scheduling strategy and corresponding three-stage queuing model. We thoroughly analyze the influences of key system parameters on queueing performance, total energy consumption, and social utility under Poisson traffic, with the no-vacation scheme as benchmark. Numerical results reveal that the proposed model can achieve optimal system social utility under various task arrival rates by tuning the number of vacation-enabled processors and vacation-related parameters. Supplementary bursty traffic experiments further verify its robustness under fluctuating real-world workloads. This work provides a new theoretical basis and practical scheduling guidance for performance-energy bi-objective optimization of TOC systems.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Performance and energy consumption balanced optimization of ternary optical computers based on partially synchronous vacation queuing

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月19日

查看全文
  • Liu Weiwen,
  • Shi Wenqiang,
  • Zhang Heqiang,
  • Liu Meng,
  • Gao Zhiyan,
  • Wang Xianchao

摘要

This paper addresses the core challenge of balancing high real-time performance and low energy consumption in practical ternary optical computer (TOC) systems with hardware-induced state-switching overhead including switching delay and switching energy consumption. By introducing the partially synchronous vacation mechanism, we establish a novel TOC task scheduling strategy and corresponding three-stage queuing model. We thoroughly analyze the influences of key system parameters on queueing performance, total energy consumption, and social utility under Poisson traffic, with the no-vacation scheme as benchmark. Numerical results reveal that the proposed model can achieve optimal system social utility under various task arrival rates by tuning the number of vacation-enabled processors and vacation-related parameters. Supplementary bursty traffic experiments further verify its robustness under fluctuating real-world workloads. This work provides a new theoretical basis and practical scheduling guidance for performance-energy bi-objective optimization of TOC systems.