Scalable Service Performance Monitoring

Idilio Drago; Aiko Pras

doi:10.1007/978-3-642-13986-4_26

Scalable Service Performance Monitoring

Idilio Drago, Aiko Pras

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Dependable performance measurement is a common requirement for all on-line services. The ongoing tendency to outsource not only infrastructure, but also software parts to several suppliers, creates a new challenge to providers. Traditional solutions cannot easily monitor service performance as perceived by end users, since providers do not have control over all hardware/software involved. Our research focuses on evaluating how data passively collected from network devices can be used to verify end-to-end service performance. Our goal is to compare this approach with current methods used to monitor distributed services. Given the constant mutation of applications on the Internet, as well as the fast increase of the number of users, we are looking for flexible and scalable solutions.

Original language	Undefined
Title of host publication	Mechanisms for Autonomous Management of Networks and Services, 4th International Conference on Autonomous Infrastructure, Management and Security
Editors	B. Stiller, F. De Turck
Place of Publication	Berlin
Publisher	Springer
Pages	175-178
Number of pages	4
ISBN (Print)	978-3-642-13985-7
DOIs	https://doi.org/10.1007/978-3-642-13986-4_26 https://doi.org/10.1007/978-3-642-13986-4
Publication status	Published - 27 Jun 2010
Event	4th International Conference on Autonomous Infrastructure, Management and Security, AIMS 2010 - Zurich, Switzerland Duration: 23 Jun 2010 → 25 Jun 2010 Conference number: 4

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Verlag
Volume	6155
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Conference on Autonomous Infrastructure, Management and Security, AIMS 2010
Abbreviated title	AIMS 2010
Country/Territory	Switzerland
City	Zurich
Period	23/06/10 → 25/06/10

Keywords

IR-72367
METIS-270810
Measurement
traffic analysis
EWI-17860
service performance
IPFIX

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Cite this

Drago, I., & Pras, A. (2010). Scalable Service Performance Monitoring. In B. Stiller, & F. De Turck (Eds.), Mechanisms for Autonomous Management of Networks and Services, 4th International Conference on Autonomous Infrastructure, Management and Security (pp. 175-178). Article 10.1007/978-3-642-13986-4 (Lecture Notes in Computer Science; Vol. 6155). Springer. https://doi.org/10.1007/978-3-642-13986-4_26, https://doi.org/10.1007/978-3-642-13986-4

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keywords = "IR-72367, METIS-270810, Measurement, traffic analysis, EWI-17860, service performance, IPFIX",

author = "Idilio Drago and Aiko Pras",

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Drago, I & Pras, A 2010, Scalable Service Performance Monitoring. in B Stiller & F De Turck (eds), Mechanisms for Autonomous Management of Networks and Services, 4th International Conference on Autonomous Infrastructure, Management and Security., 10.1007/978-3-642-13986-4, Lecture Notes in Computer Science, vol. 6155, Springer, Berlin, pp. 175-178, 4th International Conference on Autonomous Infrastructure, Management and Security, AIMS 2010, Zurich, Switzerland, 23/06/10. https://doi.org/10.1007/978-3-642-13986-4_26, https://doi.org/10.1007/978-3-642-13986-4

Scalable Service Performance Monitoring. / Drago, Idilio; Pras, Aiko.
Mechanisms for Autonomous Management of Networks and Services, 4th International Conference on Autonomous Infrastructure, Management and Security. ed. / B. Stiller; F. De Turck. Berlin: Springer, 2010. p. 175-178 10.1007/978-3-642-13986-4 (Lecture Notes in Computer Science; Vol. 6155).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Drago I, Pras A. Scalable Service Performance Monitoring. In Stiller B, De Turck F, editors, Mechanisms for Autonomous Management of Networks and Services, 4th International Conference on Autonomous Infrastructure, Management and Security. Berlin: Springer. 2010. p. 175-178. 10.1007/978-3-642-13986-4. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-13986-4_26, 10.1007/978-3-642-13986-4