Robust Intra-Slice Migration in Fog Computing

Atefeh Talebian, Alvin Valera, Jyoti Sahni, W. Seah
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Abstract

Low latency is critical to applications such as control of unmanned aerial vehicles. Such latency-sensitive services can be hosted closer to the user at the fog layer which can reduce overall latency through the reduction of transmission time and network congestion. To keep the latency low for mobile users connected to services deployed at the fog, these services need to be constantly migrated to follow the users. Unlike the cloud nodes, fog nodes are less reliable and are therefore subject to higher failure rate. In this paper, we propose an enhancement to the post-copy live migration algorithm to make it robust against failure. Simulation results show that robust migration reduces total migration time between 10-26% and downtime between 2-23% compared to non-robust migration. Furthermore, when the bandwidth to the backup node is lower, robust migration provides further improvement in both metrics.
雾计算中的鲁棒片内迁移
低延迟对于无人驾驶飞行器的控制等应用至关重要。这种对延迟敏感的服务可以托管在离用户更近的雾层,这可以通过减少传输时间和网络拥塞来减少总体延迟。为了保持连接到部署在雾中的服务的移动用户的低延迟,需要不断迁移这些服务以跟随用户。与云节点不同,雾节点的可靠性较低,故障率较高。在本文中,我们提出了一种增强后复制实时迁移算法,使其具有抗故障的鲁棒性。仿真结果表明,与非鲁棒迁移相比,鲁棒迁移可减少10-26%的总迁移时间和2-23%的停机时间。此外,当到备份节点的带宽较低时,健壮的迁移可以进一步改善这两个指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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