Scalable Service Performance Monitoring

Idilio Drago, Aiko Pras

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    13 Downloads (Pure)

    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 languageUndefined
    Title of host publicationMechanisms for Autonomous Management of Networks and Services, 4th International Conference on Autonomous Infrastructure, Management and Security
    EditorsB. Stiller, F. De Turck
    Place of PublicationBerlin
    PublisherSpringer
    Pages175-178
    Number of pages4
    ISBN (Print)978-3-642-13985-7
    DOIs
    Publication statusPublished - 27 Jun 2010

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume6155
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Keywords

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

    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). [10.1007/978-3-642-13986-4] (Lecture Notes in Computer Science; Vol. 6155). Berlin: Springer. https://doi.org/10.1007/978-3-642-13986-4_26, https://doi.org/10.1007/978-3-642-13986-4
    Drago, Idilio ; Pras, Aiko. / Scalable Service Performance Monitoring. Mechanisms for Autonomous Management of Networks and Services, 4th International Conference on Autonomous Infrastructure, Management and Security. editor / B. Stiller ; F. De Turck. Berlin : Springer, 2010. pp. 175-178 (Lecture Notes in Computer Science).
    @inproceedings{4320952f6451495bbc97b5ebfcfb6680,
    title = "Scalable Service Performance Monitoring",
    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.",
    keywords = "IR-72367, METIS-270810, Measurement, traffic analysis, EWI-17860, service performance, IPFIX",
    author = "Idilio Drago and Aiko Pras",
    note = "10.1007/978-3-642-13986-4",
    year = "2010",
    month = "6",
    day = "27",
    doi = "10.1007/978-3-642-13986-4_26",
    language = "Undefined",
    isbn = "978-3-642-13985-7",
    series = "Lecture Notes in Computer Science",
    publisher = "Springer",
    pages = "175--178",
    editor = "B. Stiller and {De Turck}, F.",
    booktitle = "Mechanisms for Autonomous Management of Networks and Services, 4th International Conference on Autonomous Infrastructure, Management and Security",

    }

    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. 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 proceedingConference contributionAcademicpeer-review

    TY - GEN

    T1 - Scalable Service Performance Monitoring

    AU - Drago, Idilio

    AU - Pras, Aiko

    N1 - 10.1007/978-3-642-13986-4

    PY - 2010/6/27

    Y1 - 2010/6/27

    N2 - 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.

    AB - 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.

    KW - IR-72367

    KW - METIS-270810

    KW - Measurement

    KW - traffic analysis

    KW - EWI-17860

    KW - service performance

    KW - IPFIX

    U2 - 10.1007/978-3-642-13986-4_26

    DO - 10.1007/978-3-642-13986-4_26

    M3 - Conference contribution

    SN - 978-3-642-13985-7

    T3 - Lecture Notes in Computer Science

    SP - 175

    EP - 178

    BT - Mechanisms for Autonomous Management of Networks and Services, 4th International Conference on Autonomous Infrastructure, Management and Security

    A2 - Stiller, B.

    A2 - De Turck, F.

    PB - Springer

    CY - Berlin

    ER -

    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). https://doi.org/10.1007/978-3-642-13986-4_26, https://doi.org/10.1007/978-3-642-13986-4