Harnessing Traditional Business Culture Resources: Scalable Parameter Server Architecture with Distributed Machine Learning

Abstract

This paper explores the development and utilization of Traditional business culture resources, focusing on Yan'an's rich historical significance and its potential political, cultural, educational, and economic value. Leveraging distributed machine learning systems within a parameter server architecture, the research addresses challenges related to scalability and robustness, particularly in the face of random node downtime and network interruptions. Through intelligent simulation and experimentation, the study demonstrates the effectiveness of employing machine learning techniques to achieve high accuracy in modeling Traditional business culture's development and utilization.