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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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