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刷新基于速率的缓存和预检策略 对于物联网中间件的中间件.

Alexey Medvedev1, Alireza Hassani1, Gleb Belov2

  • 1School of Information Technology, Deakin University, Geelong, VIC 3145, Australia.

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概括

本研究介绍了一种用于优化物联网 (IoT) 数据缓存和预采集的新方法. 通过使用服务级别协议 (SLA),它最大限度地降低了上下文管理平台 (CMP) 的运营成本.

关键词:
物联网 (IoT) 的物联网 (IoT) 的物联网.缓存 (caching) 是一种缓存.背景管理 背景管理 背景管理成本效益 成本效益 的效率.中介软件平台 中介软件平台最优的战略,最优的战略.服务级别协议 (SLA) 是一种服务级别协议.

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科学领域:

  • 计算机科学 计算机科学
  • 物联网 (IoT) 的物联网 (IoT) 的物联网.
  • 分布式系统 分布式系统

背景情况:

  • 语境管理平台 (CMP) 是关键的物联网中间件,可以在各种物联网系统中实现连接.
  • 对大规模的物联网生态系统来说,物联网数据流的高效处理和货币化是至关重要的.
  • 缓存短暂的上下文信息会产生大量的计算和网络成本.

研究的目的:

  • 开发一种方法来建模和预测物联网数据交换中的上下文指标和运营成本.
  • 通过有效的缓存和预检,提出降低上下文管理成本的策略.
  • 根据多个服务水平协议 (SLA),最大限度地提高CMP运营的利.

主要方法:

  • 使用服务级别协议 (SLA) 来量化服务缺陷并将其与成本联系起来.
  • 开发用于上下文缓存和预检策略的数学模型.
  • 提出一种新的方法来确定物联网数据预检和缓存的最佳速率.

主要成果:

  • 证明了高效的缓存和预检策略可以显著降低上下文管理成本.
  • 展示了主动缓存策略如何在定义多个SLA时最大限度地提高CMP利.
  • 在与模拟结果对比的利估计中达到0.0016的根平均平方百分比误差.

结论:

  • 拟议的方法有效地优化了物联网数据缓存和预检,以降低运营成本.
  • 展示的数学模型和策略使CMP实现了利最大化.
  • 模型的有效性通过实验场景得到证实,t-test值倾向于0.