Name
Abstract | ||
|---|---|---|
The benefits of big-data have been proven to ensure more control over the data, adding improvements in security and complex query capabilities across many datasets. However, a problem faced by many companies, especially by small and medium-sized companies (SMEs), is to define when it is necessary to apply big-data tools. Log management becomes a relevant challenge when the volume starts to grow. This paper aims to define the benefits of applying big-data tools to dealing with log-management. In addition, it provides implementation of log-centralisation based on a cluster made up of commodity nodes for medium-volume data environments using big-data technologies. The proposed system is tested on a real study case, in particular on a medium-sized telecommunication company. The results show that the implemented system brings efficiency in storing and analysing medium-volume datasets. Furthermore, the proposed solution scales the performance based on the data size and number of nodes, providing improvements in data security, data analysis and data storage. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/978-3-030-11890-7_56 | ICITS |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
9 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vitor Gaspar Silva | 1 | 73 | 11.05 |
| Francesc Giné | 2 | 88 | 13.00 |
| Magda Valls | 3 | 67 | 8.68 |
| David Tapia | 4 | 0 | 0.34 |
| Marta Sarret | 5 | 0 | 0.34 |