This paper presents an algorithm named the dependency-aware offloading framework(DeAOff),which is designed to optimize the deployment of Gen-AI decoder models in mobile edge computing(MEC)environments.These models,suc...This paper presents an algorithm named the dependency-aware offloading framework(DeAOff),which is designed to optimize the deployment of Gen-AI decoder models in mobile edge computing(MEC)environments.These models,such as decoders,pose significant challenges due to their interlayer dependencies and high computational demands,especially under edge resource constraints.To address these challenges,we propose a two-phase optimization algorithm that first handles dependencyaware task allocation and subsequently optimizes energy consumption.By modeling the inference process using directed acyclic graphs(DAGs)and applying constraint relaxation techniques,our approach effectively reduces execution latency and energy usage.Experimental results demonstrate that our method achieves a reduction of up to 20%in task completion time and approximately 30%savings in energy consumption compared to traditional methods.These outcomes underscore our solution’s robustness in managing complex sequential dependencies and dynamic MEC conditions,enhancing quality of service.Thus,our work presents a practical and efficient resource optimization strategy for deploying models in resourceconstrained MEC scenarios.展开更多
采用3 mm铜模及3~6 mm铁模在不同冷却速率条件下凝固制备了Al-7Si合金,通过温度测量及组织性能表征分析了冷却速率对合金组织性能的影响。结果表明:采用3 mm Cu模和3~6 mm Fe模浇注时,A1-7Si合金在共晶温度前的平均冷却速率为42.2~96.5...采用3 mm铜模及3~6 mm铁模在不同冷却速率条件下凝固制备了Al-7Si合金,通过温度测量及组织性能表征分析了冷却速率对合金组织性能的影响。结果表明:采用3 mm Cu模和3~6 mm Fe模浇注时,A1-7Si合金在共晶温度前的平均冷却速率为42.2~96.5℃/s。随着冷却速率由42.2℃/s增加至96.5℃/s,A1-7Si合金的晶粒尺寸与二次枝晶臂间距(SDAS)皆减小50%以上;合金中心区域共晶硅相的含量由(19.1±0.3)%下降至(13.5±0.2)%,主要原因在于样品中心区域共晶硅相的偏聚现象由大面积集中分布转变为小面积扩散分布。此外,与3~6 mm铁模浇注时相比,采用3 mm铜模浇注Al-7Si合金的拉伸性能最佳。展开更多
采用Gleeble-3800热模拟实验机,对低压脉冲磁场(Low Voltage Pulsed Magnetic Field,LVPMF)定向凝固的H13钢进行了热压缩实验,研究了该合金钢在变形温度为1000~1150℃、应变速率为0.01~10 s^(-1)条件下的热变形行为,建立了有无低压脉冲...采用Gleeble-3800热模拟实验机,对低压脉冲磁场(Low Voltage Pulsed Magnetic Field,LVPMF)定向凝固的H13钢进行了热压缩实验,研究了该合金钢在变形温度为1000~1150℃、应变速率为0.01~10 s^(-1)条件下的热变形行为,建立了有无低压脉冲磁场处理样品的本构方程,获得了热变形过程中的激活能Q,并绘制了热加工图。结果表明:在H13钢的定向凝固过程中引入低压脉冲磁场(励磁电压为200 V、磁场频率为5 Hz),合金钢微观组织中的一次枝晶和二次枝晶得到了有效细化。施加低压脉冲磁场(晶粒细化)的合金钢的热变形激活能Q和流变失稳区域较小,减少了热压缩过程中的带状组织,具有更加优异的热加工性。展开更多
文摘This paper presents an algorithm named the dependency-aware offloading framework(DeAOff),which is designed to optimize the deployment of Gen-AI decoder models in mobile edge computing(MEC)environments.These models,such as decoders,pose significant challenges due to their interlayer dependencies and high computational demands,especially under edge resource constraints.To address these challenges,we propose a two-phase optimization algorithm that first handles dependencyaware task allocation and subsequently optimizes energy consumption.By modeling the inference process using directed acyclic graphs(DAGs)and applying constraint relaxation techniques,our approach effectively reduces execution latency and energy usage.Experimental results demonstrate that our method achieves a reduction of up to 20%in task completion time and approximately 30%savings in energy consumption compared to traditional methods.These outcomes underscore our solution’s robustness in managing complex sequential dependencies and dynamic MEC conditions,enhancing quality of service.Thus,our work presents a practical and efficient resource optimization strategy for deploying models in resourceconstrained MEC scenarios.
文摘采用3 mm铜模及3~6 mm铁模在不同冷却速率条件下凝固制备了Al-7Si合金,通过温度测量及组织性能表征分析了冷却速率对合金组织性能的影响。结果表明:采用3 mm Cu模和3~6 mm Fe模浇注时,A1-7Si合金在共晶温度前的平均冷却速率为42.2~96.5℃/s。随着冷却速率由42.2℃/s增加至96.5℃/s,A1-7Si合金的晶粒尺寸与二次枝晶臂间距(SDAS)皆减小50%以上;合金中心区域共晶硅相的含量由(19.1±0.3)%下降至(13.5±0.2)%,主要原因在于样品中心区域共晶硅相的偏聚现象由大面积集中分布转变为小面积扩散分布。此外,与3~6 mm铁模浇注时相比,采用3 mm铜模浇注Al-7Si合金的拉伸性能最佳。
文摘采用Gleeble-3800热模拟实验机,对低压脉冲磁场(Low Voltage Pulsed Magnetic Field,LVPMF)定向凝固的H13钢进行了热压缩实验,研究了该合金钢在变形温度为1000~1150℃、应变速率为0.01~10 s^(-1)条件下的热变形行为,建立了有无低压脉冲磁场处理样品的本构方程,获得了热变形过程中的激活能Q,并绘制了热加工图。结果表明:在H13钢的定向凝固过程中引入低压脉冲磁场(励磁电压为200 V、磁场频率为5 Hz),合金钢微观组织中的一次枝晶和二次枝晶得到了有效细化。施加低压脉冲磁场(晶粒细化)的合金钢的热变形激活能Q和流变失稳区域较小,减少了热压缩过程中的带状组织,具有更加优异的热加工性。
