Standard

Cloud integration within the Dirac interware. / Balashov, N. A.; Kuchumov, R. I.; Kutovskiy, N. A.; Pelevanyuk, I. S.; Petrunin, V. N.; Tsaregorodtsev, A. Yu.

в: CEUR Workshop Proceedings, Том 2507, 01.01.2019, стр. 256-260.

Результаты исследований: Научные публикации в периодических изданияхстатья в журнале по материалам конференцииРецензирование

Harvard

Balashov, NA, Kuchumov, RI, Kutovskiy, NA, Pelevanyuk, IS, Petrunin, VN & Tsaregorodtsev, AY 2019, 'Cloud integration within the Dirac interware', CEUR Workshop Proceedings, Том. 2507, стр. 256-260.

APA

Balashov, N. A., Kuchumov, R. I., Kutovskiy, N. A., Pelevanyuk, I. S., Petrunin, V. N., & Tsaregorodtsev, A. Y. (2019). Cloud integration within the Dirac interware. CEUR Workshop Proceedings, 2507, 256-260.

Vancouver

Balashov NA, Kuchumov RI, Kutovskiy NA, Pelevanyuk IS, Petrunin VN, Tsaregorodtsev AY. Cloud integration within the Dirac interware. CEUR Workshop Proceedings. 2019 Янв. 1;2507:256-260.

Author

Balashov, N. A. ; Kuchumov, R. I. ; Kutovskiy, N. A. ; Pelevanyuk, I. S. ; Petrunin, V. N. ; Tsaregorodtsev, A. Yu. / Cloud integration within the Dirac interware. в: CEUR Workshop Proceedings. 2019 ; Том 2507. стр. 256-260.

BibTeX

@article{502db34c30bb469684e686d8756e4d6d,
title = "Cloud integration within the Dirac interware",
abstract = "Computing clouds are widely used by many organizations in science, business, and industry. They provide flexible access to various physical computing resources. In addition, computing clouds allow better resource utilization. Today many scientific organizations have their own private cloud used for both hosting services and performing computations. In many cases, private clouds are not 100% loaded and may be used as work nodes for distributed computations. If one connects clouds together, it will be possible to use them together for computational tasks. Therefore, the idea to integrate several private clouds appeared. A cloud bursting approach can be used for the integration of resources. However, in order to provide access to the united cloud for all participants, an extensive configuration will be required in all clouds. We studied the possibility to combine clouds by integrating them using a distributed workload management system – DIRAC Interware. Two approaches to spawning virtual machines were evaluated: the use of the OCCI interface and the native OpenNebula XML-RPC interface. They were tested, and both approaches allowed performing computing jobs in various clouds based on the OpenNebula software.",
keywords = "Cloud, Dirac, Grid",
author = "Balashov, {N. A.} and Kuchumov, {R. I.} and Kutovskiy, {N. A.} and Pelevanyuk, {I. S.} and Petrunin, {V. N.} and Tsaregorodtsev, {A. Yu}",
year = "2019",
month = jan,
day = "1",
language = "English",
volume = "2507",
pages = "256--260",
journal = "CEUR Workshop Proceedings",
issn = "1613-0073",
publisher = "RWTH Aahen University",
note = "27th Symposium on Nuclear Electronics and Computing, NEC 2019 ; Conference date: 30-09-2019 Through 04-10-2019",

}

RIS

TY - JOUR

T1 - Cloud integration within the Dirac interware

AU - Balashov, N. A.

AU - Kuchumov, R. I.

AU - Kutovskiy, N. A.

AU - Pelevanyuk, I. S.

AU - Petrunin, V. N.

AU - Tsaregorodtsev, A. Yu

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Computing clouds are widely used by many organizations in science, business, and industry. They provide flexible access to various physical computing resources. In addition, computing clouds allow better resource utilization. Today many scientific organizations have their own private cloud used for both hosting services and performing computations. In many cases, private clouds are not 100% loaded and may be used as work nodes for distributed computations. If one connects clouds together, it will be possible to use them together for computational tasks. Therefore, the idea to integrate several private clouds appeared. A cloud bursting approach can be used for the integration of resources. However, in order to provide access to the united cloud for all participants, an extensive configuration will be required in all clouds. We studied the possibility to combine clouds by integrating them using a distributed workload management system – DIRAC Interware. Two approaches to spawning virtual machines were evaluated: the use of the OCCI interface and the native OpenNebula XML-RPC interface. They were tested, and both approaches allowed performing computing jobs in various clouds based on the OpenNebula software.

AB - Computing clouds are widely used by many organizations in science, business, and industry. They provide flexible access to various physical computing resources. In addition, computing clouds allow better resource utilization. Today many scientific organizations have their own private cloud used for both hosting services and performing computations. In many cases, private clouds are not 100% loaded and may be used as work nodes for distributed computations. If one connects clouds together, it will be possible to use them together for computational tasks. Therefore, the idea to integrate several private clouds appeared. A cloud bursting approach can be used for the integration of resources. However, in order to provide access to the united cloud for all participants, an extensive configuration will be required in all clouds. We studied the possibility to combine clouds by integrating them using a distributed workload management system – DIRAC Interware. Two approaches to spawning virtual machines were evaluated: the use of the OCCI interface and the native OpenNebula XML-RPC interface. They were tested, and both approaches allowed performing computing jobs in various clouds based on the OpenNebula software.

KW - Cloud

KW - Dirac

KW - Grid

UR - http://www.scopus.com/inward/record.url?scp=85077545781&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85077545781

VL - 2507

SP - 256

EP - 260

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

T2 - 27th Symposium on Nuclear Electronics and Computing, NEC 2019

Y2 - 30 September 2019 through 4 October 2019

ER -

ID: 53207989