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首页> 外文期刊>International journal of ad hoc and ubiquitous computing >Energy-efficient fault-tolerant scheduling in a fog-based smart monitoring application
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Energy-efficient fault-tolerant scheduling in a fog-based smart monitoring application

机译：基于雾的智能监控应用中的节能容错调度

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摘要

Fog environment is a distributed system model that can utilise the processing abilities of fog devices (FDs) and is growing as an essential platform for IoT. Network failures become inevitable, with the growing scale of IoT. To achieve high performance, should attend to communication reliability. Fault tolerance becomes a necessary matter to enhance the reliability of the fog. Notably, fault tolerance studies have been performed only on the cloud system. To counter this issue, we propose a novel fault-tolerant scheduling algorithm for hybrid modules in fog. One of the main innovations of this approach is a classification method for different modules by the side of computing the energy consumption of all fog nodes and finding minimal fog node's energy consumption. Proposing ECRBC model, which composes the profits of extended checkpoint-restart and primary back up model with classification, is leading to superior energy-efficiency and reliability. We evaluate the performance of the proposed method by comparing it with four methods in terms of delay, energy consumption, execution cost, network usage, and total executed modules. Analysis and simulation results show, our method augments high reliability and efficiency to the system.
机译：FOG环境是一种分布式系统模型，可以利用雾设备（FDS）的处理能力，并作为IOT的基本平台而增长。网络失败变得不可避免，具有越来越大的物联网。为了实现高性能，应参加通信可靠性。容错成为增强雾可靠性的必要事项。值得注意的是，仅在云系统上执行了容错研究。为了对策，我们提出了一种用于雾中混合模块的新型容错调度算法。这种方法的主要创新之一是在计算所有雾节点的能量消耗并找到最小的雾节点能量消耗方面的不同模块的分类方法。提出撰写的ECRBC模型，该模型组成了扩展检查点 - 重启和初级备份模型的分类，导致卓越的能效和可靠性。我们通过在延迟，能耗，执行成本，网络使用率和总执行模块方面将其与四种方法进行比较来评估所提出的方法的性能。分析和仿真结果表明，我们的方法增强了对系统的高可靠性和效率。

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