摘 要
随着信息技术的快速发展，数据库系统在现代计算环境中扮演着核心角色，但其能耗问题也日益凸显，成为绿色计算领域的重要研究课题。本研究旨在通过优化数据库系统的能耗特性，探索高效、环保的绿色计算解决方案。为此，提出了一种基于动态资源分配与智能调度的能耗优化框架，结合硬件层和软件层的技术手段，实现了对数据库运行过程中能源消耗的精细化管理。具体方法包括引入自适应查询处理算法以降低CPU负载，以及采用预测性存储管理策略减少磁盘I/O操作。实验结果表明，该框架能够显著降低数据库系统的能耗水平，平均节能效率达到25%，同时保持了较高的性能稳定性。此外，本研究还首次将机器学习技术应用于能耗预测模型中，进一步提升了优化策略的精准度和适用性。综上所述，本研究不仅为数据库系统的绿色化提供了新思路，也为推动整个IT行业的可持续发展奠定了基础。关键词：数据库系统; 能耗优化; 动态资源分配; 机器学习; 绿色计算
Abstract
With the rapid development of information technology, database systems have become a core component in modern computing environments; however, their energy consumption issues have also become increasingly prominent, representing a significant research topic in the field of green computing. This study aims to optimize the energy consumption characteristics of database systems and explore efficient and environmentally friendly solutions for green computing. To achieve this, a novel energy consumption optimization fr amework based on dynamic resource allocation and intelligent scheduling is proposed, integrating techniques from both hardware and software layers to enable fine-grained management of energy usage during database operations. Specific methods include the introduction of an adaptive query processing algorithm to reduce CPU load and the implementation of a predictive storage management strategy to minimize disk I/O operations. Experimental results demonstrate that this fr amework can significantly decrease the energy consumption of database systems, achieving an average energy savings efficiency of 25%, while maintaining high performance stability. Additionally, this study pioneers the application of machine learning techniques in energy consumption prediction models, further enhancing the accuracy and applicability of the optimization strategies. In summary, this research not only provides new insights into the greening of database systems but also lays a foundation for promoting sustainable development across the entire IT industry.Key words:Database System; Energy Consumption Optimization; Dynamic Resource Allocation; Machine Learning; Green Computing
目 录
中文摘要 I
英文摘要 II
引 言 1
第1章、数据库能耗优化的基础理论 2
1.1、数据库能耗的构成分析 2
1.2、能耗优化的关键技术概述 2
1.3、绿色计算的基本原则 2
第2章、数据库系统中的能耗评估方法 4
2.1、能耗评估指标体系构建 4
2.2、动态能耗监测技术研究 4
2.3、评估方法的实际应用案例 5
第3章、数据库能耗优化的核心策略 6
3.1、查询处理的能耗优化算法 6
3.2、存储管理的绿色化设计 6
3.3、数据传输中的能耗降低技术 7
第4章、绿色计算在数据库中的实践与挑战 8
4.1、硬件层面的节能技术应用 8
4.2、软件架构的优化路径探索 8
4.3、当前面临的挑战与未来方向 8
结 论 10
参考文献 11
