雾计算:应用、挑战和机遇

Dr Rajanikanth Aluvalu, Lakshmi Muddana, V. Uma Maheswari, Krishna Keerthi Channam, Swapna Mudrakola, M. Sirajuddin, Cvr Syavasya
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引用次数: 0

摘要

云计算是一种被广泛接受的实用计算模式。所有的应用程序处理都在云服务提供商管理的云数据中心进行。这包括网络延迟和处理延迟。每次执行应用程序时,都必须将数据从节点传输到云。这将增加网络流量,并且将数据从节点传输到远程云服务器并返回实际上是不可行的。雾计算,一种新的云计算模式将有助于克服这一挑战。在雾计算技术中,数据处理任务全部或部分在节点级执行,这大大提高了响应速度。此外,它还减少了延迟、处理成本和带宽问题,并以更好的响应时间提高了客户驱动程序服务的效率。雾在网络连接有问题的地方非常有用,因为雾有一个单独的协议套件,可以支持弱网络连接。本文研究并介绍了雾计算范式的各种参数,如挑战、应用和机遇
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Fog Computing: Applications, Challenges, and Opportunities
Cloud computing, is a widely accepted utility computing model. All the application processing takes place in the cloud data center managed by the cloud service provider. This includes network latency and delays in processing. Each time the application is executed, data has to be transported from node to the cloud. This will increase network traffic and is practically not feasible to transport data from node to remote cloud server and back. Fog computing, a new paradigm of cloud computing will help in overcoming this challenge. In fog computing technology, the data processing tasks are executed at the node level either completely or partially, which highly increases the speed of responses. Also, it reduces latency, processing costs, and bandwidth problems, and improves the efficiency of customer driver services with better response time. Fog is highly useful in locations where network connectivity is an issue because fog has a separate protocol suite that will support weak network connections. In this article, the various parameters of the fog computing paradigm such as challenges, application, and opportunities are studied and presented
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