DetMLB: Network Traffic Detection System and Detector Load Balancing Method Under microservice Architecture
Author:
Affiliation:
1. Cyberspace Institute of Advanced Technology, GuangZhou University,GuangZhou,China
2. Peng Cheng Peng Cheng Laboratory,The Department of New Networks,Shenzhen,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10471591/10471598/10471740.pdf?arnumber=10471740
Reference10 articles.
1. Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey;Abbasi;Computer Communications
2. A survey of network anomaly detection techniques;Ahmed;Journal of Network and Computer Applications,2016
3. Network Traffic Anomaly Detection via Deep Learning
4. An Energy-Aware Agent-Based Resource Allocation Using Targeted Load Balancer for Improving Quality of Service in Cloud Environment
5. The pains and gains of microservices: A Systematic grey literature review;Soldani;Journal of Systems and Software,2018
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