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A systematic study of load balancing approaches in the fog computing environment

机译:雾化计算环境中负载平衡方法的系统研究

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摘要

Internet of Things has been growing, due to which the number of user requests on fog computing layer has also increased. Fog works in a real-time environment and offers from connected devices need to be processed immediately. With the increase in users requests on fog layer, virtual machines (VMs) at fog layer become overloaded. Load balancing mechanism can distribute load among all the VMs in equal proportion. It has become a necessity in the fog layer to equally, and equitably distribute all the workload among the existing VMs in the segment. Till now, many load balancing techniques have been proposed for fog computing. An empirical study of existing methods in load balancing have been conducted, and taxonomy has been presented in a hierarchical form. Besides, the article contains the year-wise comprehensive review and summary of research articles published in the area of load balancing from 2013 to 2020. Furthermore, article also contains our proposed fog computing architecture to resolve load balancing problem. It also covers current issues and challenges that can be resolved in future research works. The paper concludes by providing future directions.
机译:事情互联网已经成长,由于哪个用户对雾计算层上的用户请求的数量也增加了。雾在实时环境中工作,并需要立即处理连接设备的优惠。随着用户对雾层的请求的增加,雾层的虚拟机(VM)变得过载。负载平衡机制可以平等地分配所有VM之间的负载。它已成为雾层的必需品,同样地,并且公平地分配了段中现有VM之间的所有工作量。到目前为止,已经提出了许多负载平衡技术进行雾计算。已经进行了对负载平衡中现有方法的实证研究,并以分层形式呈现分类。此外,本文载有2013年至2020年在负载平衡领域发表的全年全面审查和研究文章摘要。此外,文章还包含我们提出的雾计算架构,用于解决负载平衡问题。它还涵盖了在未来的研究工作中可以解决的当前问题和挑战。本文通过提供未来方向来结束。

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