Name
Title | ||
|---|---|---|
PUFF: A Passive and Universal Learning-based Framework for Intra-domain Failure Detection |
Abstract | ||
|---|---|---|
The increasing amount of network devices brings significant improvement to network quality but is inevitably prone to various failures. The frequent occurrence of link failures and node failures in the real-world network, causing packet losses and delay, calls for more accurate and fast detection methods. Existing network failure detection systems focus on probes and end-to-end metrics, but are li... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IPCCC51483.2021.9679436 | 2021 IEEE International Performance, Computing, and Communications Conference (IPCCC) |
Keywords | DocType | ISSN |
Machine learning algorithms,Network topology,Prototypes,Packet loss,Feature extraction,Topology,Delays | Conference | 1097-2641 |
ISBN | Citations | PageRank |
978-1-6654-4331-9 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lianjin Ye | 1 | 0 | 0.34 |
| Qing Li | 2 | 3222 | 433.87 |
| Xudong Zuo | 3 | 0 | 0.34 |
| Jingyu Xiao | 4 | 0 | 0.34 |
| Yong Jiang | 5 | 0 | 0.34 |
| Zhuyun Qi | 6 | 0 | 0.34 |
| Chunsheng Zhu | 7 | 0 | 0.34 |