摘 要
随着信息技术的迅猛发展，数据中心能耗问题日益凸显，动态电压频率调整（DVFS）技术成为降低处理器能耗的重要手段。本研究旨在探讨基于DVFS的能耗优化理论，通过建立数学模型分析不同工作负载下处理器性能与功耗之间的关系，提出一种自适应DVFS算法以实现能耗最小化。该算法根据任务特征动态调整CPU的工作频率和电压，在保证系统性能的前提下有效降低能耗。实验结果表明，所提出的算法能够显著减少处理器在多种应用场景下的平均功耗，相较于传统固定频率模式可降低约20% - 35%的能耗。此外，本研究还引入了热感知机制，确保在进行能耗优化的同时不会影响系统的稳定性和可靠性。创新点在于结合实时任务调度与温度监测，实现了对处理器运行状态的精准控制，为解决大规模数据中心面临的能效挑战提供了新的思路和技术途径，对于推动绿色计算的发展具有重要意义。
关键词：动态电压频率调整 能耗优化 自适应算法
Abstract
With the rapid development of information technology, energy consumption in data centers has become an increasingly prominent issue. Dynamic Voltage and Frequency Scaling (DVFS) technology has emerged as a critical approach to reducing processor power consumption. This study investigates DVFS-based energy optimization theory by establishing mathematical models to analyze the relationship between processor performance and power consumption under different workloads. An adaptive DVFS algorithm is proposed to minimize energy consumption, which dynamically adjusts the CPU's operating frequency and voltage based on task characteristics while ensuring system performance. Experimental results demonstrate that the proposed algorithm significantly reduces average power consumption across various application scenarios, achieving approximately 20% to 35% lower energy consumption compared to traditional fixed-frequency modes. Furthermore, this research incorporates a thermal-aware mechanism to ensure that energy optimization does not compromise system stability and reliability. The innovation lies in integrating real-time task scheduling with temperature monitoring, enabling precise control of the processor’s operational state. This approach provides new insights and technical pathways for addressing the energy efficiency challenges faced by large-scale data centers and is significant for promoting the development of green computing.
Keyword:Dynamic Voltage Frequency Adjustment Energy Consumption Optimization Adaptive Algorithm
目 录
1绪论 1
1.1研究背景与意义 1
1.2国内外研究现状 1
1.3研究方法概述 2
2动态电压频率调整原理 2
2.1动态电压频率调整概念 2
2.2关键技术要素分析 3
2.3实施机制与模型构建 3
3能耗优化理论框架 4
3.1能耗优化基本理论 4
3.2优化目标设定原则 5
3.3理论模型的建立与验证 5
4应用案例与实证分析 6
4.1案例选择依据 6
4.2实验设计与数据采集 7
4.3结果分析与讨论 7
结论 8
参考文献 10
致谢 11
