JINR cloud infrastructure evolution

Baranov, A. V.; Balashov, N.; Kutovskiy, Nikolay; Semenov, R.

doi:10.1134/s1547477116050071

Cited by 35 publications

(21 citation statements)

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“…A motivation behind the JINR cloud infrastructure [1] and the HybriLIT heterogeneous cluster [2] deployment was to provide users with access to more powerful computational resources as well as increase hardware utilization.…”

Section: Methodsmentioning

confidence: 99%

Service for parallel applications based on JINR cloud and HybriLIT resources

et al. 2019

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Cloud computing has become a routine tool for scientists in many fields. The JINR cloud infrastructure provides JINR users with computational resources to perform various scientific calculations. In order to speed up achievements of scientific results the JINR cloud service for parallel applications has been developed. It consists of several components and implements a flexible and modular architecture which allows to utilize both more applications and various types of resources as computational backends. An example of using the Cloud&HybriLIT resources in scientific computing is the study of superconducting processes in the stacked long Josephson junctions (LJJ). The LJJ systems have undergone intensive research because of the perspective of practical applications in nanoelectronics and quantum computing. In this contribution we generalize the experience in application of the Cloud&HybriLIT resources for high performance computing of physical characteristics in the LJJ system.

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Section: Methodsmentioning

confidence: 99%

Service for parallel applications based on JINR cloud and HybriLIT resources

et al. 2019

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“…В настоящее время в EGI FC интегрированы облака 20 провайдеров с общим количеством ресурсов 6000 ядер ЦПУ и 300 Тбайт дисковой памяти. В числе провайдеров Россия представлена Объединенным институтом ядерных исследований [18,19].…”

Section: облачный грид европейской грид-инфраструктурыunclassified

New stage of grid development: grid from clouds

Kovalenko

2018

KIAM Prepr.

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О р д е н а Л е н и н а ИНСТИТУТ ПРИКЛАДНОЙ МАТЕМАТИКИ имени М.В. Келдыша Р о с с и й с к о й а к а д е м и и н а у к В.Н. Коваленко, Е.И. Коваленко Новый этап развития грида: грид из облаков Москва-2018 Коваленко В.Н., Коваленко Е.И. Новый этап развития грида: грид из облаков За последние несколько лет в Европе создан новый тип глобально распределённой среды вычислительных ресурсов, в которой сочетаются технологии грида и облачного компьютинга. Основная цель этой инициативырасширить круг прикладных специалистов, использующих распределённые ресурсы для масштабных вычислений. В статье описывается программная архитектура и средства для поддержки пользовательской деятельности в этой среде. Ключевые слова: грид, облачные технологии, распределенные вычисления, управление образами ВМ, управление приложениями, научный портал Kovalenko Victor Nikolaevich, Kovalenko Evgeniia Ivanovna New stage of grid development: grid from clouds Over the past few years, a new type of globally distributed computing resource environment has been developed in Europe, combining grid and cloud computing technologies. The main goal of this initiative is to expand the range of application specialists, which make use of distributed resources for large-scale calculations. The article describes the software architecture and tools to support user activities in this environment.

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“…IaaS-based clouds serve a universal computing resource designed to accommodate lots of various independent user applications in a unified environment. The cloud of the Joint Institute for Nuclear Research (JINR) [2] is an example of such a service built specifically for a scientific community to support a wide range of activities: hosting of IT services as well as testing new systems and updates, software development and, of course, compute-intensive tasks, such as physical data analysis and modelling.…”

Section: Introductionmentioning

confidence: 99%

Advanced Scheduling in IaaS Clouds

et al. 2019

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The complexity of modern software libraries and applications makes it hard to predict possible workloads generated by the software that may lead to significant underutilization of hardware in Infrastructure-as-a-Service (IaaS) clouds. In this paper, we give a review of an approach aimed to deal with resource underutilization in cloud environments, including description of a developed software framework and an example algorithm. IaaS clouds following this universal approach can help increase overall cloud resource utilization independently of the variety of cloud applications. * Corresponding author: balashov@jinr.ru

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JINR cloud infrastructure evolution

Cited by 35 publications

References 1 publication

Service for parallel applications based on JINR cloud and HybriLIT resources

Service for parallel applications based on JINR cloud and HybriLIT resources

New stage of grid development: grid from clouds

Advanced Scheduling in IaaS Clouds

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