Survey on Load balancing in fog computing in smart healthcare system

Hayder Makki Shakir, J. Karimpour
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引用次数: 1

Abstract

One of the basic parts of life is Healthcare that the provision several services like diagnosing, treatment and preventing mental trouble, diseases, illnesses, injuries. Applications of Healthcare are the most crucial tasks since they infect the life of a patient directly. One of the key technologies is Computing of Fog which is able to be performed in applications of healthcare. Fog computing basic aim is presenting services with less latency among the end devices and cloud. However, there is a huge unsolved problems amount in computing of fog. The main goal of using fog computing with health systems in the distribution of loads is to provide high security for the data that is transferred through sensors located between the peripheral devices in the fog edge nodes and reduce access time and energy consumption by allocating resources and distributing them between Loads fairly, which generates high productivity and accuracy in performance. This paper presents the analysis according to various fog computing metrics to implement balancing of load in computing of fog.
智能医疗系统雾计算负载均衡研究
生活的基本组成部分之一是医疗保健,它提供多种服务,如诊断、治疗和预防精神问题、疾病、疾病、伤害。医疗保健应用程序是最关键的任务,因为它们直接影响到患者的生命。其中一项关键技术是雾计算,它能够在医疗保健应用中执行。雾计算的基本目标是在终端设备和云之间提供更少延迟的服务。然而,在雾的计算中仍有大量未解决的问题。在健康系统中使用雾计算进行负载分配的主要目标是为通过位于雾边缘节点的外围设备之间的传感器传输的数据提供高安全性,并通过在负载之间公平分配资源和分配资源来减少访问时间和能耗,从而产生高生产率和高准确性的性能。本文根据各种雾计算指标进行分析,实现雾计算中的负载均衡。
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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