一种适用于多层物联网医疗保健系统的高效雾层任务调度算法

Q2 Nursing
R. Behera, Amrut Patro, K. Reddy, D. S. Roy
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引用次数: 1

摘要

由于患者、家庭、医生、医院和保险公司获得的极端福利,基于物联网的医疗保健系统正变得越来越受欢迎。传统上,几乎所有物联网应用程序都使用云,但远离设备的云导致了提供服务的不确定延迟。在这一点上,雾计算成为为延迟敏感物联网应用提供此类实时服务的最佳替代方案。然而,随着患者的激增,fog有限的资源可能无法处理爆炸性增长的请求,这些请求需要对任务进行基于高级监控的优先级排序,以满足QoS要求。为此,本文针对雾中的医疗保健应用提出了一种级别监控任务调度(LMTS)算法,以最小的延迟和网络使用率对延迟敏感的任务提供即时响应。使用Cloudsim模拟器对所提出的算法进行了仿真,结果证明了所提出模型的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Efficient Fog Layer Task Scheduling Algorithm for Multi-Tiered IoT Healthcare Systems
IoT-based healthcare systems are becoming popular due to the extreme benefits patients, families, physicians, hospitals, and insurance companies are getting. Cloud is used traditionally for almost every IoT application, but cloud located far away from the devices resulted in an uncertain latency in providing services. At this point, fog computing emerged as the best alternative to provide such real-time services to delay-sensitive IoT applications. However, with the surge of patients, fog's limited resources may fail to handle the explosive growth in requests requiring advanced monitoring-based prioritization of tasks to meet the QoS requirements. To this end, in this paper, a level monitoring task scheduling (LMTS) algorithm is proposed for healthcare applications in fog to provide an immediate response to the delay-sensitive tasks with minimum delay and network usage. The proposed algorithm has been simulated using the Cloudsim simulator, and the results obtained demonstrated the efficacy of the proposed model.
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来源期刊
CiteScore
3.20
自引率
0.00%
发文量
43
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