Loginson: a transform and load system for very large-scale log analysis in large IT infrastructures
| Autor: | Rafael Leira, Paula Roquero, Carlos Vega, Ivan Gonzalez, Javier Aracil |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer science [C05] [Engineering
computing & technology] FOS: Computer and information sciences Computer science business.industry Distributed computing Volume (computing) Databases (cs.DB) 020206 networking & telecommunications 02 engineering and technology Sciences informatiques [C05] [Ingénierie informatique & technologie] Theoretical Computer Science Computer Science - Databases Hardware and Architecture Analytics 020204 information systems Scalability 0202 electrical engineering electronic engineering information engineering Data repositories for log collection Large datacenters Log analysis Operational intelligence business Software Information Systems |
| Zdroj: | Journal of Supercomputing, 73(9), 3879-3900. Springer New York LLC (2017). |
| ISSN: | 1573-0484 0920-8542 |
| DOI: | 10.1007/s11227-017-1990-1 |
| Popis: | Nowadays, most systems and applications produce log records that are useful for security and monitoring purposes such as debugging programming errors, checking system status, and detecting configuration problems or even attacks. To this end, a log repository becomes necessary whereby logs can be accessed and visualized in a timely manner. This paper presents Loginson, a high-performance log centralization system for large-scale log collection and processing in large IT infrastructures. Besides log collection, Loginson provides high-level analytics through a visual interface for the purpose of troubleshooting critical incidents. We note that Loginson outperforms all of the other log centralization solutions by taking full advantage of the vertical scalability, and therefore decreasing Capital Expenditure (CAPEX) and Operating Expense (OPEX) costs for deployment scenarios with a huge volume of log data. 23 pages, Figure 12 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|