Name
Abstract | ||
|---|---|---|
A log management system is essential for the networks administrator. With a log management tool, we can collect, store, analyze, archive, and finally dispose of the log information. In this paper, we propose the architecture model of a log management system using ELK Stack with Ceph to provide a safe network, good Wi-Fi signal strength, and adequate backup data mechanism. In this case, we use our campus data of Wi-Fi log and NetFlow log. First, we collect and store data of our Wi-Fi log using Filebeats tool, and then, we use Elasticsearch, Logstash, and Kibana Stack to visualize the Wi-Fi log data. Second, we collect and store our NetFlow log using NFDUMP, and then, we also use ELK Stack to visualize the NetFlow log data. Third, we integrate the Wi-Fi log and NetFlow log data in one architecture using a distributed storage Ceph file system (CephFS). Moreover, we also compare the performance of RADOS Gateway and CephFS for better storage mechanism. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s11227-019-02853-2 | The Journal of Supercomputing |
Keywords | DocType | Volume |
Log management system, ELK Stack, Ceph, Alluxio, Elasticsearch, Logstash, Kibana | Journal | 76 |
Issue | ISSN | Citations |
8 | 0920-8542 | 3 |
PageRank | References | Authors |
0.40 | 1 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chao-Tung Yang | 1 | 1196 | 139.50 |
| Endah Kristiani | 2 | 27 | 5.81 |
| Yuan-Ting Wang | 3 | 3 | 0.40 |
| Geyong Min | 4 | 2089 | 224.70 |
| Ching-Han Lai | 5 | 3 | 0.40 |
| Wei-Je Jiang | 6 | 4 | 0.76 |