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在雾计算中实现有效的服务分配.

Rayan A Alsemmeari1, Mohamed Yehia Dahab2, Badraddin Alturki1

  • 1Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia.

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概括
此摘要是机器生成的。

本研究介绍了用于将物联网 (IoT) 服务分配到雾计算设备的高效方法. 提出的技术显著减少了网络通信,并优化了雾资源利用.

关键词:
一个小小的东西.这就是为什么物联网物联网物联网.云计算是云计算中的一个.雾计算 雾计算 雾计算优化的优化优化优化.服务分配服务的分配.

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科学领域:

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

背景情况:

  • 物联网 (IoT) 产生了大量的数据,需要各种服务,对容量,质量和延迟有不同的要求.
  • 与云资源相比,用于处理物联网数据的雾计算设备在功率和带宽方面存在局限性.
  • 最佳的服务配置 (雾,云或混合) 是物联网架构的一个关键挑战,以有效地满足各种服务需求.

研究的目的:

  • 建议在雾计算环境中为物联网服务提供高效的分配技术.
  • 优化设备和服务的配置,以提高物联网架构中的资源利用率.
  • 研究在雾计算中有效的服务对设备分配和资源管理的方法.

主要方法:

  • 开发基于优先级的服务分配 (PSA) 和基于排序的服务分配 (SSA) 技术.
  • 专注于将处理更接近网络的雾层,以减少延迟和提高效率.
  • 评估最佳的设备和服务分配策略,以保持资源利用率.

主要成果:

  • 通过本地化雾服务分配,网络数据通信减少了88%.
  • 雾装置服务的分发增加了96%.
  • 在雾计算设备上尽量减少资源浪费.

结论:

  • 拟议的服务分配技术有效地解决了物联网雾计算中最佳服务配置的挑战.
  • 在雾中本地化服务处理会大幅减少网络流量,提高资源效率.
  • 这些方法提高了物联网架构的整体性能和资源管理.