Quality of Service-Based Resource Management in Fog Computing: A Systematic Review

Vibha Jain, B. Kumar
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引用次数: 1

Abstract

In recent years, the emergence of the internet of things (IoT) has accelerated the quality of day-to-day tasks. With the rapid development of IoT devices, the cloud computing paradigm has become an attractive solution by facilitating on-demand services. However, the remote location of third-party cloud reduces the overall user experience while increasing the latency involved. Fog computing has been introduced as a promising solution by improving the overall service quality. Fog computing comprises distributed and heterogeneous fog nodes with limited resource capabilities. Therefore, managing fog resources while satisfying users' service quality is a challenging task. This study attempts to conduct a systematic review by examining high-quality research papers published between 2018 and April 2022. This paper aims to address current trends, challenges, and theoretical gaps with a wide range of open issues to guide the researchers and practitioners interested in carrying out the further research in the current domain.
雾计算中基于服务质量的资源管理:系统综述
近年来,物联网(IoT)的出现加速了日常任务的质量。随着物联网设备的快速发展,云计算范式通过促进按需服务成为一种有吸引力的解决方案。然而,第三方云的远程位置降低了整体用户体验,同时增加了所涉及的延迟。雾计算作为一种很有前途的解决方案被引入,它可以提高整体服务质量。雾计算包括具有有限资源能力的分布式和异构雾节点。因此,在满足用户服务质量的同时管理雾资源是一项具有挑战性的任务。本研究试图对2018年至2022年4月期间发表的高质量研究论文进行系统评价。本文旨在解决当前的趋势,挑战和广泛的开放性问题的理论差距,以指导有兴趣在当前领域开展进一步研究的研究人员和实践者。
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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