基于M/G/1排队模型的三元光学计算机的性能和能耗优化
Shi Wenqiang1, Liu Weiwen2, Zhang Heqiang2
1Fuyang Normal University, School of Computer and Information Engineering, 236037, Fuyang Anhui, China. swq_fsd@163.com.
Scientific reports
|March 5, 2026
概括
本研究引入了一种新的服务模式,用于Ternary Optical Computers (TOC) 以减少能源消耗,同时保持服务质量 (QoS). 该模型通过管理服务器休假和客户门来优化性能.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 运营研究 运营研究
背景情况:
- 三级光学计算机 (TOC) 在平衡服务质量 (QoS) 和能源消耗方面面临挑战.
- 现有的服务模型在TOC环境中无法充分解决这些双重目标.
研究的目的:
- 为TOC系统提出和分析一种新的三阶段服务模型.
- 通过集成的排队和假期机制来优化能源消耗和QoS.
- 为TOC双重目标优化提供理论见解和实践指南.
主要方法:
- 将M/G/1排队系统与N政策和多次假期集成到TOC服务框架中.
- 随机分解方法用于第三阶段的精确稳定状态队列长度分析.
- 对第一阶段和第二阶段进行近似分析,以平衡计算复杂性和准确性.
- 应用Little的定律来推导整个系统的逗留时间.
- 利用更新奖励定理来建模TOC的能源消耗,并确定最佳参数.
主要成果:
- 拟议的模型大大降低了TOC系统的能源消耗.
- 在节省能源的同时,保持了令人满意的系统性能 (QoS).
- 数字实验成功地确定了N政策的最佳值 (N).
结论:
- 新的三阶段服务模式有效地解决了QoS和TOC的能源消耗的双重目标.
- 该研究提供了宝贵的理论贡献和优化TOC性能的实际建议.
- 综合方法为未来对节能计算系统的研究提供了坚实的框架.
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