以蜜蜂为灵感的资源分配方案,用于物联网驱动的智能医疗保健应用程序,以雾云模式为基础
Aasma Akram1, Fatima Anjum1, Sajid Latif2
1Department of Computer Science, Lahore College for Women University, Lahore, Punjab, Pakistan.
PeerJ. Computer science
|December 9, 2024
概括
本研究介绍了使用雾计算的智能医疗保健应用程序的最佳配置策略. 以蜜蜂为灵感的方法改善了资源配置,减少了物联网 (IoT) 系统的延迟和完成时间.
科学领域:
- 计算机科学 计算机科学
- 分布式系统 分布式系统
- 人工智能的人工智能
背景情况:
- 物联网 (IoT) 通过相互连接的模块和分布式数据流 (DDF) 实现智能应用程序.
- 在远程云数据中心中执行物联网模块通常会导致服务质量 (QoS) 降低.
- 雾计算通过将计算更接近物联网设备来解决这一问题,但高效的资源管理和模块分配仍然至关重要.
研究的目的:
- 在雾资源上为智能医疗保健应用模块提出最佳的放置策略.
- 为了确保最佳的执行考虑延迟,带宽,和最早的完成时间.
- 动态管理雾网络,以实现成本效益高的应用程序模块配置.
主要方法:
- 开发了一种以蜜蜂为灵感的新策略,用于资源配置和应用程序模块处理的利用.
- 基于Java的iFogSim模拟类被扩展到模拟应用程序.
- 进行了实验,以评估拟议的策略与基线技术相比.
主要成果:
- 建议的最佳配置策略在实验中显示出令人满意的结果.
- 该战略有效地解决了物联网应用的雾计算中的资源管理挑战.
- 与基线方法相比,观察到延迟,带宽和完成时间的改善.
结论:
- 以蜜蜂为灵感的最佳配置策略为智能医疗保健物联网应用的雾计算中资源配置提供了有效的解决方案.
- 这种方法提高了资源利用率,并提高了整体系统性能.
- 这项研究强调了生物灵感算法在优化复杂分布式系统方面的潜力.
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