Standard

Distributed Virtual Cluster Management System. / Korkhov, Vladimir; Kobishev, Sergey; Degtyarev, Alexander; Cubahiro, Amissi; Gaspary, Luciano; Wang, Xingce; Wu, Zhongke.

в: CEUR Workshop Proceedings, Том 2267, 30.12.2018, стр. 383-387.

Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование

Harvard

Korkhov, V, Kobishev, S, Degtyarev, A, Cubahiro, A, Gaspary, L, Wang, X & Wu, Z 2018, 'Distributed Virtual Cluster Management System', CEUR Workshop Proceedings, Том. 2267, стр. 383-387. <http://ceur-ws.org/Vol-2267/383-387-paper-73.pdf>

APA

Korkhov, V., Kobishev, S., Degtyarev, A., Cubahiro, A., Gaspary, L., Wang, X., & Wu, Z. (2018). Distributed Virtual Cluster Management System. CEUR Workshop Proceedings, 2267, 383-387. http://ceur-ws.org/Vol-2267/383-387-paper-73.pdf

Vancouver

Korkhov V, Kobishev S, Degtyarev A, Cubahiro A, Gaspary L, Wang X и пр. Distributed Virtual Cluster Management System. CEUR Workshop Proceedings. 2018 Дек. 30;2267:383-387.

Author

Korkhov, Vladimir ; Kobishev, Sergey ; Degtyarev, Alexander ; Cubahiro, Amissi ; Gaspary, Luciano ; Wang, Xingce ; Wu, Zhongke. / Distributed Virtual Cluster Management System. в: CEUR Workshop Proceedings. 2018 ; Том 2267. стр. 383-387.

BibTeX

@article{0a0d7287b7ca4935bc64efe1ef7a813e,
title = "Distributed Virtual Cluster Management System",
abstract = "An effective cluster management system is the key to solving many problems that arise in the field of distributed computing. One of the major problems is to map applications and available computing resources in such a way that optimal application performance is achieved and resources are used efficiently. The traditional way is to tune applications to the resources which is not always easy or effective. We consider the opposite way that implies configuring resources to the application needs. This leads to the necessity of abstracting resources which can be done with virtualization technologies. In this paper we consider the execution of distributed applications in virtual clusters that are configured specifically to match application requirements to resources. In particular, we investigate performance of NAS Parallel Benchmarks and Hadoop benchmarking suites in different resource sharing scenarios.",
keywords = "Cloud Computing, High Performance Computing, Virtualization, Virtual cluster",
author = "Vladimir Korkhov and Sergey Kobishev and Alexander Degtyarev and Amissi Cubahiro and Luciano Gaspary and Xingce Wang and Zhongke Wu",
year = "2018",
month = dec,
day = "30",
language = "English",
volume = "2267",
pages = "383--387",
journal = "CEUR Workshop Proceedings",
issn = "1613-0073",
publisher = "RWTH Aahen University",
note = "8th International Conference {"}Distributed Computing and Grid-Technologies in Science and Education{"}, GRID 2018 ; Conference date: 10-09-2018 Through 14-09-2018",

}

RIS

TY - JOUR

T1 - Distributed Virtual Cluster Management System

AU - Korkhov, Vladimir

AU - Kobishev, Sergey

AU - Degtyarev, Alexander

AU - Cubahiro, Amissi

AU - Gaspary, Luciano

AU - Wang, Xingce

AU - Wu, Zhongke

PY - 2018/12/30

Y1 - 2018/12/30

N2 - An effective cluster management system is the key to solving many problems that arise in the field of distributed computing. One of the major problems is to map applications and available computing resources in such a way that optimal application performance is achieved and resources are used efficiently. The traditional way is to tune applications to the resources which is not always easy or effective. We consider the opposite way that implies configuring resources to the application needs. This leads to the necessity of abstracting resources which can be done with virtualization technologies. In this paper we consider the execution of distributed applications in virtual clusters that are configured specifically to match application requirements to resources. In particular, we investigate performance of NAS Parallel Benchmarks and Hadoop benchmarking suites in different resource sharing scenarios.

AB - An effective cluster management system is the key to solving many problems that arise in the field of distributed computing. One of the major problems is to map applications and available computing resources in such a way that optimal application performance is achieved and resources are used efficiently. The traditional way is to tune applications to the resources which is not always easy or effective. We consider the opposite way that implies configuring resources to the application needs. This leads to the necessity of abstracting resources which can be done with virtualization technologies. In this paper we consider the execution of distributed applications in virtual clusters that are configured specifically to match application requirements to resources. In particular, we investigate performance of NAS Parallel Benchmarks and Hadoop benchmarking suites in different resource sharing scenarios.

KW - Cloud Computing

KW - High Performance Computing

KW - Virtualization

KW - Virtual cluster

UR - https://www.elibrary.ru/item.asp?id=38653533

M3 - Conference article

VL - 2267

SP - 383

EP - 387

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

T2 - 8th International Conference "Distributed Computing and Grid-Technologies in Science and Education", GRID 2018

Y2 - 10 September 2018 through 14 September 2018

ER -

ID: 71303497