一个基于跳跃哈希一致性算法的车辆车牌数据访问模型
Wei Wang1, Wenfang Cheng2, Jing Chen1
1College of Information Technology Engineering, Tianjin University of Technology and Education, Tianjin, 300391, China.
PloS one
|August 24, 2023
概括
本研究引入了智能交通系统的新型数据访问模型,改进了车辆车牌数据管理. 跳跃哈希一致性算法确保有效的数据存储和检索,解决大数据挑战.
科学领域:
- 智能运输系统 智能运输系统
- 大数据分析大数据分析
- 数据库管理数据库管理
背景情况:
- 智能交通系统产生大量的车辆车牌数据,这对城市规划和研究至关重要.
- 当前的大数据平台在有效存储,查询和应用这些数据方面面临挑战,特别是在复杂的条件下.
- 有效管理这些数据对于推进城市交通信息系统至关重要.
研究的目的:
- 为处理车辆车牌数据的大数据平台提出新的数据访问模型.
- 解决关键值数据库环境中复杂的多条件查询和灵活数据应用的局限性.
- 提高车辆车牌数据的科学研究和应用价值.
主要方法:
- 一个基于跳跃哈希一致性算法的数据访问模型.
- 实现数据切片存储以实现数据均分布.
- 使用多线程滑动窗口并行阅读以快速检索数据.
- 对数据分布统一性和检索效率的比较分析.
主要成果:
- 拟议的模型有效地避免了集群热点问题.
- 实现大规模时间序列数据的均分布式存储和快速阅读.
- 支持具有多样化和复杂条件的全面分析查询.
- 通过精确的数据存储范围定位和并行扫描,保持高查询效率.
结论:
- 基于跳转哈希一致性算法模型为管理大规模车辆车牌数据提供了有效的解决方案.
- 该模型提高了大数据环境中的数据可访问性和查询性能.
- 这种方法有助于对城市交通数据进行更复杂的分析和应用.
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