在多服务器移动边缘计算中使用循环罗宾式任务处理进行边缘服务器选择
Kahlan Aljobory1,2, Mehmet Akif Yazici1,3
1Information and Communications Research Group, Informatics Institute, Istanbul Technical University, 34469 Istanbul, Türkiye.
Sensors (Basel, Switzerland)
|September 19, 2025
概括
移动边缘计算 (MEC) 具有圆形轮回调度,可显著减少AR和远程医疗等应用程序的任务延迟. 这种方法比传统方法更有效地处理连续的,随机的任务到达.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 分布式系统 分布式系统
背景情况:
- 移动边缘计算 (MEC) 对于下一代网络 (5G,6G+) 支持要求高的应用程序至关重要.
- 网络密度的增加需要多个边缘服务器的高效任务卸载策略.
- 现有的研究往往简化了任务到达和排队模型,限制了现实世界的适用性.
研究的目的:
- 在移动边缘计算中引入一个新的任务卸载框架.
- 调查循环任务调度的性能与连续的,随机的任务到达.
- 在多服务器 MEC 环境中比较各种服务器选择机制.
主要方法:
- 为多个边缘服务器开发了一个任务卸载框架,使用循环轮回调度.
- 模拟了来自多个用户的连续和随机任务到达.
- 进行了广泛的模拟来评估系统性能,并比较服务器选择策略.
主要成果:
- 与传统模式相比,轮回任务安排显著减少了任务延迟.
- 拟议的框架证明了在处理现实的,动态的工作负载方面提高了效率.
- 对服务器选择机制的比较分析为实际部署提供了洞察力.
结论:
- 圆形轮回调度是移动边缘计算中任务卸载的高效策略.
- 该研究的现实建模推进了对MEC系统性能的理解.
- 研究结果为优化边缘计算资源管理和任务分配提供了宝贵的指导.
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