雾计算应用的演变、机遇和挑战:系统回顾

Hewan Shrestha, Puviyarai T., Sana Sodanapalli, Chandramohan Dhasarathan
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引用次数: 0

摘要

近年来,物联网的兴起是世界各行业的福音。随着这些设备产生的数据量不断增加,在常规云架构上进行适当的数据流和计算变得困难。雾计算是云计算的一个很好的替代方案,因为它支持在大型分布式地理区域的设备中进行计算,这是雾计算的一个优点。雾计算在各个领域都有应用,包括医疗保健、物流、设计、营销、制造等,它对未来是一个巨大的福音。使用不同方法和技术在不同领域发展的雾计算已经为它塑造了一个清晰的未来。雾计算在车辆通信和存储即服务中的适用性使得这个术语最近更加流行。它回顾了所有可能的雾计算应用程序及其未来的范围。它还为进一步研究具有低延迟和最低成本的雾计算域服务奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolution of Fog Computing Applications, Opportunities, and Challenges: A Systematic Review
The emerging trend of internet of things in recent times is a blessing for various industries in the world. With the increasing amount of data generated by these devices, it makes it difficult for proper data flow and computation over the regular cloud architecture. Fog computing is a great alternative for cloud computing as it supports computation in devices over a large distributed geographical area, which is a plus for fog computing. Having applications in various domains including healthcare, logistics, design, marketing, manufacturing, and many more, fog computing is a great boon for the future. Evolving fog computing in various domains with different methods and techniques has shaped a clear future for it. Applicability of fog computing in vehicular communications and storage-as-a-service has made the term more popular these days. It is a review of all the possible fog computing-enabled applications and their future scope. It also prepares a basis for further research into fog computing domain-enabled services with low latency and minimum costs.
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