The rise of eBPF for non-intrusive performance monitoring
| Autor: | Cyril Cassagnes, Lucian Andrei Trestioreanu, Radu State, Clement Joly |
|---|---|
| Přispěvatelé: | RIPPLE University Blockchain Research Initiative (UBRI) [sponsor], Fonds National de la Recherche – FnR [sponsor], Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Services and Data management research group (SEDAN) [research center] |
| Rok vydání: | 2020 |
| Předmět: |
Computer science [C05] [Engineering
computing & technology] Profiling (computer programming) Berkeley Packet Filter business.industry Computer science 020206 networking & telecommunications Cloud computing 02 engineering and technology Tracing Sciences informatiques [C05] [Ingénierie informatique & technologie] monitoring 020204 information systems Embedded system 0202 electrical engineering electronic engineering information engineering Interledger Performance monitoring Ripple eBPF business Implementation performance |
| Zdroj: | NOMS |
| DOI: | 10.1109/noms47738.2020.9110434 |
| Popis: | In this paper, we explain that container engines are strengthening their isolation mechanisms. Therefore, non-intrusive monitoring becomes a must-have for the performance analysis of containerized user-space application in production environments. After a literature review and background of Linux subsystems and container isolation concepts, we present our lessons learned of using the extended Berkeley packet filter to monitor and profile performance. We carry out the profiling and tracing of several Interledger connectors using two full-fledged implementations of the Interledger protocol specifications. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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