A Spark-based algorithm for analyzing big data in edge cloud
The increasing demand for computing power and reduced latency has accelerated the scale of edge computing applications.Edge computing brings computation and storage capabili-ties to the data production side at the network edge,migrating certain processing tasks from tra-ditional cloud computing to edge computing nodes.This improves user experience.However,distributed computing generates massive log data,placing higher demands on operations and management.This article takes cloud broadband edge big data as an example and explores and proposes an algorithm implementation for analyzing log data based on Spark.The efficiency of Hadoop MapReduce in the analysis process is also compared.The implementation effectively ad-dresses the common problem of measurement analysis efficiency in edge computing.
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