Reference : The rise of eBPF for non-intrusive performance monitoring

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a journal
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/43564

Title :	The rise of eBPF for non-intrusive performance monitoring
Language :	English
Author, co-author :	Cassagnes, Cyril [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Trestioreanu, Lucian Andrei [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Joly, Clement [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	State, Radu [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	8-Jun-2020
Journal title :	IEEE Xplore
Pages :	7
Peer reviewed :	Yes
Audience :	International
ISSN :	1542-1201
e-ISSN :	2374-9709
Event name :	NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium
Event date :	20-24 April 2020
Event place (city) :	Budapest
Event country :	Hungary
Keywords :	[en] eBPF ; Interledger ; monitoring ; performance ; Ripple
Abstract :	[en] In this paper, we explain that container engines are strengthening their isolation mechanisms. Therefore, nonintrusive 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.
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Services and Data management research group (SEDAN)
Funders :	RIPPLE University Blockchain Research Initiative (UBRI) ; Fonds National de la Recherche – FnR
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/10993/43564
DOI :	10.1109/NOMS47738.2020.9110434
Other URL :	https://ieeexplore.ieee.org/document/9110434

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