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Multidimensional Cloud Latency Monitoring and Evaluation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00305157" target="_blank" >RIV/68407700:21230/16:00305157 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.comnet.2016.06.011" target="_blank" >http://dx.doi.org/10.1016/j.comnet.2016.06.011</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.comnet.2016.06.011" target="_blank" >10.1016/j.comnet.2016.06.011</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multidimensional Cloud Latency Monitoring and Evaluation

  • Original language description

    Measuring or evaluating performance of a Cloud service is a non-trivial and highly ambiguous task. We focus on Cloud-service latency from the user’s point of view, and, to this end, utilize the multidimensional latency measurements obtained using an in-house designed active-probing platform, CLAudit, deployed across PlanetLab and Microsoft Azure datacenters. The multiple geographic Vantage Points, multiple protocol layers and multiple datacenter locations of CLAudit measurements allow us to pinpoint with great precision if, where and what kind of a particular latency-generating event has happened. We analyze and interpret measurements over two one-month time-intervals, one in 2013 and one in 2016. As these traces are large, an automated interpretation has been appended to the data-capture process. In summary, we demonstrate the utility of the multidimensional approach and document the differences in the measured Cloud-services latency over time. Our measurements data is publicly available and we encourage the research community to use it for verification and further studies.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Computer Networks

  • ISSN

    1389-1286

  • e-ISSN

  • Volume of the periodical

    107

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    17

  • Pages from-to

    104-120

  • UT code for WoS article

    000385328600009

  • EID of the result in the Scopus database

    2-s2.0-84991800844