基于时间融合变压器的策略,用于高效的多云内容复制
1Computer Science and Engineering, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India.
PeerJ. Computer science
|June 26, 2025
概括
本研究介绍了基于时间融合变压器 (TFT) 的云计算动态数据复制策略 (TD2RS). 在动态环境中,TD2RS可提高20%的数据可用性,并减少15%的延迟.
科学领域:
- 云计算 云计算 云计算
- 数据管理数据管理
- 人工智能的人工智能
背景情况:
- 确保高数据可用性和可靠性对于云环境中高效的内容交付至关重要.
- 在多个云上复制内容是一个常见的策略,但动态管理它是具有挑战性的.
- 数据受欢迎程度和云资源可用性的动态变化使最佳复制复杂化.
研究的目的:
- 解决在多云环境中动态数据复制的挑战.
- 提出和评估一种基于时间融合变压器 (TFT) 的新型动态数据复制策略 (TD2RS).
- 优化内容复制,考虑到未来的数据需求和资源可用性.
主要方法:
- 利用时间融合变压器 (TFT),一个深度学习的时间预测模型.
- 从多个云源收集内容受欢迎程度和资源可用性的历史数据.
- 开发了TD2RS以预测未来的数据需求并执行智能,优化的复制.
主要成果:
- 与传统方法相比,提议的基于TFT的方法提高了20%的数据可用性.
- 使用TD2RS框架,延迟水平降低了15%.
- 用合成时间序列数据进行了广泛的实验,验证了框架的性能.
结论:
- 基于TFT的复制策略有效地提高了动态云环境中的内容交付效率.
- TD2RS提供了一个强大的解决方案,用于动态管理数据可用性,可靠性和性能.
- 这种方法比现有的复制技术提供了显著的改进.
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