원문정보
국제인공지능학회(구 한국인터넷방송통신학회)
International Journal of Internet, Broadcasting and Communication
Vol.15 No.1
2023.02
pp.157-163
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
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.
목차
Abstract
1. INTRODUCTION
2. RELATED WORK
3. MULTI AGENT OVERCOMING LOW-LATENCY BASED ON CLUSTERS IN CLOUD ENVIRONMENT
3.1 Machine Learning Processing Manager
3.2 Unsupervised Learning Manager
3.3 Low-latency Management Layer
3.4 Operation Mechanism
3.5 Low-latency Management Layer Algorithm
4. EXPERIMENTS AND RESULTS
5. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
1. INTRODUCTION
2. RELATED WORK
3. MULTI AGENT OVERCOMING LOW-LATENCY BASED ON CLUSTERS IN CLOUD ENVIRONMENT
3.1 Machine Learning Processing Manager
3.2 Unsupervised Learning Manager
3.3 Low-latency Management Layer
3.4 Operation Mechanism
3.5 Low-latency Management Layer Algorithm
4. EXPERIMENTS AND RESULTS
5. CONCLUSION
ACKNOWLEDGMENT
REFERENCES
저자정보
참고문헌
자료제공 : 네이버학술정보