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Optimization of Cloud Connectivity using a Smart-home Gateway

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00317290" target="_blank" >RIV/68407700:21230/18:00317290 - isvavai.cz</a>

  • Result on the web

    <a href="http://icc2018.ieee-icc.org/" target="_blank" >http://icc2018.ieee-icc.org/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICC.2018.8422768" target="_blank" >10.1109/ICC.2018.8422768</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimization of Cloud Connectivity using a Smart-home Gateway

  • Original language description

    When consuming Cloud services from their homes, contemporary users face a significant degree of uncertainty with regards to Cloud–service performance and reliability. This uncertainty could be addressed by an intelligent approach deployed within a smart home gateway, which would continuously reevaluate and reassign Cloud–bound traffic to a momentarily optimal destination. We demonstrate that such optimization could bring significant benefits to individual users in terms of quality and reliability of the provided Cloud service. Furthermore, we sketch a schema of a methodology that regularly reassigns Cloud– bound traffic, based on past measurements and a constrained optimization computation; we present an experimental performance evaluation of such approach and discuss feasibility of its implementation.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20202 - Communication engineering and systems

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ICC 2018

  • ISBN

    9781538631805

  • ISSN

    1550-3607

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

  • Publisher name

    IEEE

  • Place of publication

    Piscataway, NJ

  • Event location

    Kansas City

  • Event date

    May 20, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article