边缘计算框架下的边缘节点信息模型

Xing Gao, Zhirong Tan, Gang Xing
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引用次数: 0

摘要

针对万物互联下云计算的高延迟、高负载问题,提出了一种边缘计算框架。其次,针对边缘计算框架下节点数据的高异构性导致数据分析和处理困难的问题,本文提出了一种具有泛化能力的信息模型来承载节点状态数据,降低了节点数据的异构性。确保数据能够统一接入边缘计算平台。最后,讨论了边缘节点在各种应用场景下的信息模型形式,有助于推动边缘计算的发展。
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Edge Node Information Model under the Framework of Edge Computing
Aiming at the high latency and high load of cloud computing under the Internet of Everything, an edge computing framework is proposed. Secondly, in view of the high heterogeneity of node data under the edge computing framework, which leads to the difficulty of data analysis and processing, this paper proposes an information model with generalization capability to carry the state data of nodes, which reduces the heterogeneity of node data. Ensure that data can be unified access to the edge computing platform. Finally, the information model forms of edge nodes in a variety of application scenarios are discussed, which is helpful to promote the development of edge computing.
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