Dynamic optimization of workload on compute nodes in private, public and hybrid clouds
This system is designed for automatic workload distribution in a cluster by analysing workload of compute nodes and migrating VMs from overloaded nodes to underloaded ones. Besides workload stabilization, the system also provides an opportunity to reduce power consumption by unloading and suspending...
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Format: | Article |
Language: | English |
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Ivannikov Institute for System Programming of the Russian Academy of Sciences
2018-10-01
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Series: | Труды Института системного программирования РАН |
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Online Access: | https://ispranproceedings.elpub.ru/jour/article/view/928 |
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author | A. . Chadin |
author_facet | A. . Chadin |
author_sort | A. . Chadin |
collection | DOAJ |
description | This system is designed for automatic workload distribution in a cluster by analysing workload of compute nodes and migrating VMs from overloaded nodes to underloaded ones. Besides workload stabilization, the system also provides an opportunity to reduce power consumption by unloading and suspending underloaded nodes. Workload stabilization in a cluster increases stability and reduces system response time. |
first_indexed | 2024-12-11T19:22:35Z |
format | Article |
id | doaj.art-c74a896f35ae40848a248da718b99e03 |
institution | Directory Open Access Journal |
issn | 2079-8156 2220-6426 |
language | English |
last_indexed | 2024-12-11T19:22:35Z |
publishDate | 2018-10-01 |
publisher | Ivannikov Institute for System Programming of the Russian Academy of Sciences |
record_format | Article |
series | Труды Института системного программирования РАН |
spelling | doaj.art-c74a896f35ae40848a248da718b99e032022-12-22T00:53:29ZengIvannikov Institute for System Programming of the Russian Academy of SciencesТруды Института системного программирования РАН2079-81562220-64262018-10-0127630731410.15514/ISPRAS-2015-27(6)-19928Dynamic optimization of workload on compute nodes in private, public and hybrid cloudsA. . Chadin0СервионикаThis system is designed for automatic workload distribution in a cluster by analysing workload of compute nodes and migrating VMs from overloaded nodes to underloaded ones. Besides workload stabilization, the system also provides an opportunity to reduce power consumption by unloading and suspending underloaded nodes. Workload stabilization in a cluster increases stability and reduces system response time.https://ispranproceedings.elpub.ru/jour/article/view/928балансировкакластероблачные вычисления |
spellingShingle | A. . Chadin Dynamic optimization of workload on compute nodes in private, public and hybrid clouds Труды Института системного программирования РАН балансировка кластер облачные вычисления |
title | Dynamic optimization of workload on compute nodes in private, public and hybrid clouds |
title_full | Dynamic optimization of workload on compute nodes in private, public and hybrid clouds |
title_fullStr | Dynamic optimization of workload on compute nodes in private, public and hybrid clouds |
title_full_unstemmed | Dynamic optimization of workload on compute nodes in private, public and hybrid clouds |
title_short | Dynamic optimization of workload on compute nodes in private, public and hybrid clouds |
title_sort | dynamic optimization of workload on compute nodes in private public and hybrid clouds |
topic | балансировка кластер облачные вычисления |
url | https://ispranproceedings.elpub.ru/jour/article/view/928 |
work_keys_str_mv | AT achadin dynamicoptimizationofworkloadoncomputenodesinprivatepublicandhybridclouds |