面向边缘智能的开源网络优化工具

Gregory Wang, D. Steeg
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引用次数: 5

摘要

通过实现边缘计算模型,确实有可能使分析和信息存储更接近信息生成的位置。响应时间应该会改善,同时带宽使用也会减少。”一个常见的误解是“边缘”和“物联网”是同义词。在物联网(IoT)中使用边缘计算是这种类型的分布式计算的一个例子,它对配置和位置很敏感。”相反,这个词暗指一项特定的技术,指的是整体架构。为了发现新的研究机会并帮助用户选择更合适的边缘计算进展,本文对现有的开源计算项目进行了分析。此外,还将对项目的适用性进行比较。
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Open Source Network Optimization Tools for Edge Intelligence
It is indeed possible to bring analysis and information storage closer to where the information is generated by implementing an edge computing model. Response times should improve while bandwidth use is reduced as a result." A common misconception is that "edge" and "IoT" are synonymous. Using edge computing in the Internet of Things (IoT) is an example of this type of distributed computing, which is sensitive to configuration and location." Instead, then alluding to a specific piece of technology, the word refers to an overall architecture. In order to discover novel study opportunities and aid users in selecting more suitable edge computing advancements, this paper provides an analysis of existing open-source computing projects. Also, a comparison of the project’s applicability will be defined.
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