An Algorithm for Migration and Resource Planning in Cloud Technologies

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

An Algorithm for Migration and Resource Planning in Cloud Technologies

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

An Algorithm for Migration and Resource Planning in Cloud Technologies

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

<a href="/cs/project/GA15-11724S" target="_blank" >GA15-11724S: DEPIES - Rozhodovací procesy v inteligentních prostředích</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

978-3-319-69835-9

ISSN

2367-4512

e-ISSN

2367-4512

Počet stran výsledku

10

Strana od-do

347-356

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Barcelona

Datum konání akce

8. 11. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000464606800033