效能提升⚡系统空闲进程优化与性能增强技术研究

• 系统空闲进程 (System Idle Process)
• 进程优化 (Process Optimization)
• 性能增强 (Performance Enhancement)
• 效能提升 (Efficiency Improvement)
• 资源调度 (Resource Scheduling)
• 功耗管理 (Power Management)
• 低功耗状态 (Low-Power State, C-states)
• 处理器空闲 (Processor Idling)
• 动态频率电压调整 (Dynamic Voltage and Frequency Scaling, DVFS)
• 硬件功耗封顶 (Hardware Power Capping)

技术与方法关键词：

• 自适应调频 (Adaptive Frequency Scaling)
• 预测性空闲 (Predictive Idling)
• 任务调度算法 (Task Scheduling Algorithms)
• 工作负载整合 (Workload Consolidation)
• 虚拟化优化 (Virtualization Optimization)
• 中断节流 (Interrupt Throttling)
• 定时器合并 (Timer Coalescing)
• 运行时电源管理 (Runtime Power Management)
• 硬件辅助虚拟化 (Hardware-assisted Virtualization)
• 能效感知调度 (Energy-Aware Scheduling)

研究与应用领域关键词：

• 操作系统内核优化 (Operating System Kernel Optimization)
• 云计算数据中心能效 (Cloud Computing Data Center Energy Efficiency)
• 边缘计算节点功耗 (Edge Computing Node Power Consumption)
• 高能效计算 (High-Performance Computing, HPC Power Efficiency)
• 移动设备续航 (Mobile Device Battery Life)
• 物联网终端功耗 (IoT Endpoint Power Consumption)
• 绿色计算 (Green Computing)
• 可持续IT (Sustainable IT)
• 性能功耗比 (Performance per Watt)
• 基准测试与剖析 (Benchmarking and Profiling)

新兴趋势关键词 (截至2025-08)：

• AI驱动的电源管理 (AI-driven Power Management)
• 跨层优化 (Cross-layer Optimization)
• 量子计算系统冷却效能 (Quantum Computing System Cooling Efficiency)
• 非易失性内存与功耗 (Non-Volatile Memory and Power Consumption)
• 神经形态计算能效 (Neuromorphic Computing Energy Efficiency)