International Journal of Internet, Broadcasting and Communication

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Agent with Low-latency Overcoming Technique for Distributed Cluster-based Machine Learning

  • Seo-Yeon, Gu (Department of Computer Science, Kwangwoon University) ;
  • Seok-Jae, Moon (Department of Artificial Intelligence Institute of Information Technology, KwangWoon University) ;
  • Byung-Joon, Park (Department of Computer Science, Kwangwoon University)
  • Received : 2023.01.08
  • Accepted : 2023.01.17
  • Published : 2023.02.28
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Abstract

Recently, as businesses and data types become more complex and diverse, efficient data analysis using machine learning is required. However, since communication in the cloud environment is greatly affected by network latency, data analysis is not smooth if information delay occurs. In this paper, SPT (Safe Proper Time) was applied to the cluster-based machine learning data analysis agent proposed in previous studies to solve this delay problem. SPT is a method of remotely and directly accessing memory to a cluster that processes data between layers, effectively improving data transfer speed and ensuring timeliness and reliability of data transfer.

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Acknowledgement

This work is financially supported by Korea Ministry of Environment(MOE) Graduate School specialized in Integrated Pollution Prevention and Control Project.

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