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Conference Paper
Predictive Mechanism for Server Health Check: Network Packet-Flow Learning Approach
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- Authors
- Seung-Chul Son, Seokkap Ko, Hyungok Lee, Byung-Tak Lee
- Issue Date
- 2022-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.2095-2097
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Large-scale Internet services are integrated into physical server clusters and virtual microservices. For smooth service, failures of individual microservices and server clusters constituting integrated services should be checked from time to time. Heartbeat packets are a typical method, but they bring network overhead. In this paper, we propose a method to passively inspect the health of individual microservices and individual servers through machine learning on network packets. Proposed techniques allow us to predict the health status of individual microservices and individual servers without incurring additional network overhead. Experimental results show that the ROC-AUC of the proposed technique is close to 0.92 and is reasonable except for very few false positive results.
- KSP Keywords
- False positive results, Integrated Services(InterServ), Internet service, Learning approach, Network overhead, Packet-flow, Predictive mechanism, Server cluster, Server health, health status, large-scale