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VM Migration Measurement and Failure Detection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00231276" target="_blank" >RIV/68407700:21230/15:00231276 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    VM Migration Measurement and Failure Detection

  • Original language description

    This paper tackles migration of virtual machines, and the migration reliability. The migration is seen as a reliable operation, but this assumption is not true and almost no work on this topic has been published. In order to quantify the migration successful rate, we designed and implemented framework for autonomous migration evaluation, network availability testing, and reporting. This framework is introduced in this paper and its configuration is described. This framework is very unique because of itsmodular architecture and orchestration independence. We use this framework in order to quantify the migration successful rate, so we prepare statistically reliable test. Based on this test we formulated a mathematical hypothesis and we found that only 87% of migrations successfully finish. This is very low value which is very alarming because the experiment was carried out on the testbed which is based on the most recent technologies.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    38th International Conference on Telecommunications and Signal Processing

  • ISBN

    978-1-4799-8498-5

  • ISSN

    1805-5435

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    285-288

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Prague

  • Event date

    Jul 9, 2015

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article