确保基于预测的资源配置的物联网系统中可靠的网络通信和数据处理
Weronika Symbor1, Łukasz Falas1
1Department of Computer Science and Systems Engineering, Faculty of Information and Communication Technology, Wrocław University of Science and Technology, 50-370 Wrocław, Poland.
Sensors (Basel, Switzerland)
|January 11, 2025
概括
本研究介绍了一种新的基于预测的资源分配方法,用于物联网 (IoT) 系统中的多访问边缘计算 (MEC). 该方法提高了通信可靠性,并通过预测和适应不断变化的用户需求来优化资源利用.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
背景情况:
- 分布式物联网 (IoT) 系统和雾计算需要可靠的通信服务质量 (QoS).
- 在现实互动的物联网系统中未能满足QoS,可能会导致关键故障和消极的用户影响.
研究的目的:
- 为支持多访问边缘计算 (MEC) 的网络引入基于预测的资源分配方法.
- 确保所需的 QoS 并优化对各种物联网用例的资源利用,适应动态用户请求.
主要方法:
- 该方法利用当前的资源负载和历史数据来预测未来的利用率.
- 资源配置优化标准是根据预测到来的请求的变化进行调整的.
- 开发用于边缘计算场景,如自动驾驶汽车数据交换与可预测的需求波动.
主要成果:
- 拟议的方法表明物联网系统中的流程可靠性增加.
- 实现对周期性资源需求波动的有效管理,例如在高峰时段.
结论:
- 基于预测的资源分配方法提高了物联网系统的稳定性.
- 优化资源利用和可靠的 QoS 在动态边缘计算环境中是可以实现的.
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