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An Algorithm for Migration and Resource Planning in Cloud Technologies

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F18%3A50014308" target="_blank" >RIV/62690094:18450/18:50014308 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-69835-9_33" target="_blank" >http://dx.doi.org/10.1007/978-3-319-69835-9_33</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-69835-9_33" target="_blank" >10.1007/978-3-319-69835-9_33</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Algorithm for Migration and Resource Planning in Cloud Technologies

  • Original language description

    Cloud technologies are currently rising and many companies are working to deploy and operate their infrastructure using a private cloud that is run on their own resources and where they want to get the most out of their operation and usage. The operation of such infrastructure is sensitive to resource planning, and it is necessary to plan these resources and use them in a deliberate manner. This article deals with resource planning and the algorithm for solving the migration of a virtual instance (virtual machine or virtual appliance) to the most appropriate hypervisor using an analysis of the usage of virtual instance and physical hypervisors in the past. This algorithm collects data from agent on infrastructure and evaluates the load of individual components (hypervisors and virtual instances). Based on these data can migrate instances between hypervisors and increase the efficiency of the environment.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA15-11724S" target="_blank" >GA15-11724S: DEPIES - Decision Processes in Intelligent Environments</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

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

    Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2017.

  • ISBN

    978-3-319-69835-9

  • ISSN

    2367-4512

  • e-ISSN

    2367-4512

  • Number of pages

    10

  • Pages from-to

    347-356

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Barcelona

  • Event date

    Nov 8, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000464606800033