A Survey on Load Balancing Techniques in Fog Computing

Jagdeep Singh, Jatinder Warraich, Parminder Singh
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引用次数: 2

Abstract

Fog Computing has developed as a domain that gives an adequate platform for computing, networking and storage to promote innovative development. The foremost goal of fog computing is to minimize load of different jobs requests on the cloud due to an excessive amount of Internet of Things (IoT) nodes and devices raised within the last decade. The load balancing on the Fog-IoT network environment is an auspicious problem in fog computing frameworks that can reduce latency, energy and bandwidth consumption. In this article, the analysis is done on load balancing techniques implemented by several authors in Fog-IoT computing to discover deficiencies for the further enhancement of overall frameworks. The research gaps and future directions are also addressed, so the researchers can quickly decide the process to do the future investigation.
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雾计算中负载均衡技术综述
雾计算已经发展成为一个领域,为计算、网络和存储提供了一个足够的平台,以促进创新发展。雾计算的首要目标是最大限度地减少由于过去十年中增加的过多的物联网(IoT)节点和设备而导致的云上不同工作请求的负载。雾-物联网网络环境的负载均衡是雾计算框架中的一个吉祥问题,可以减少延迟、能量和带宽消耗。在本文中,分析了几个作者在Fog-IoT计算中实现的负载平衡技术,以发现进一步增强整体框架的不足之处。研究空白和未来的方向也得到了解决,因此研究人员可以快速决定进行未来调查的过程。
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