Performance Analysis of the Offloading Scheme in a Fog Computing System

E. Sopin, A. Daraseliya, L. Correia
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引用次数: 10

Abstract

Fog computing is a good solution for response time-critical applications, which need a lot of processing time. Fog allows mobile devices to offload some tasks and, consequently, to increase battery life-time. By the way, unlike classical cloud solutions, fog computing provides very low latency thanks to its distributed computing infrastructure. In the paper, we assume that tasks are not uniform and they significantly differ in amount of required work. We propose the offloading criterion based on amount of required work for a task, so that “heavy” tasks are offloaded to the fog and “light” tasks are processed locally on mobile devices. The proposed offloading scheme is analyzed in terms of queuing systems, formulas for the main performance measures are obtained.
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雾计算系统卸载方案的性能分析
对于需要大量处理时间的响应时间关键型应用程序,雾计算是一个很好的解决方案。Fog允许移动设备卸载一些任务,从而延长电池寿命。顺便说一下,与传统的云解决方案不同,雾计算提供了非常低的延迟,这要归功于它的分布式计算基础设施。在本文中,我们假设任务不是统一的,它们在所需的工作量上有很大的不同。我们提出了基于任务所需工作量的卸载标准,以便“重”任务卸载到雾中,“轻”任务在移动设备上本地处理。从排队系统的角度对所提出的卸载方案进行了分析,得到了主要性能指标的计算公式。
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