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| Язык оригинала | английский |
|---|---|
| Страницы (с-по) | 399-411 |
| Журнал | Lecture Notes in Computer Science |
| Том | 10408 |
| DOI | |
| Состояние | Опубликовано - 2017 |
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Light-Weight Cloud-Based Virtual Computing Infrastructure for Distributed Applications and Hadoop Clusters. / Korkhov, Vladimir; Kobyshev, Sergey; Degtyarev, Alexander; Bogdanov, Alexander.
В: Lecture Notes in Computer Science, Том 10408, 2017, стр. 399-411.Результат исследований: Научные публикации в периодических изданиях › статья
TY - JOUR
T1 - Light-Weight Cloud-Based Virtual Computing Infrastructure for Distributed Applications and Hadoop Clusters
AU - Korkhov, Vladimir
AU - Kobyshev, Sergey
AU - Degtyarev, Alexander
AU - Bogdanov, Alexander
PY - 2017
Y1 - 2017
N2 - Virtualized computing infrastructures are often used to create clusters of resources tailored to solve tasks taking into account particular requirements of these tasks. An important objective is to evaluate such requirements and request optimal amount of resources which becomes challenging for parallel tasks with intercommunication. In previous works we investigated how light-weight container-based virtualization can be used for creating virtual clusters running MPI applications. Such cluster is configured according to the requirements of particular application and allocates only necessary amount of resources from the physical infrastructure leaving space for co-allocated clusters running without conflicts or resource races. In this paper we investigate similar concepts for MapReduce applications based on Hadoop framework that use Cloudply virtualization tool to create and manage light-weight virtual Hadoop clusters on Amazon cloud resources. We investigate performance of several Hadoop benchmarks in differen
AB - Virtualized computing infrastructures are often used to create clusters of resources tailored to solve tasks taking into account particular requirements of these tasks. An important objective is to evaluate such requirements and request optimal amount of resources which becomes challenging for parallel tasks with intercommunication. In previous works we investigated how light-weight container-based virtualization can be used for creating virtual clusters running MPI applications. Such cluster is configured according to the requirements of particular application and allocates only necessary amount of resources from the physical infrastructure leaving space for co-allocated clusters running without conflicts or resource races. In this paper we investigate similar concepts for MapReduce applications based on Hadoop framework that use Cloudply virtualization tool to create and manage light-weight virtual Hadoop clusters on Amazon cloud resources. We investigate performance of several Hadoop benchmarks in differen
KW - Virtualization
KW - Containers
KW - Virtual cluster
U2 - 10.1007/978-3-319-62404-4_29
DO - 10.1007/978-3-319-62404-4_29
M3 - Article
VL - 10408
SP - 399
EP - 411
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
SN - 0302-9743
ER -