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Computer Research and Modeling, 2016, Volume 8, Issue 3, Pages 583–590
DOI: https://doi.org/10.20537/2076-7633-2016-8-3-583-590
(Mi crm13)
 

This article is cited in 5 scientific papers (total in 5 papers)

SOFTWARE

Approaches to cloud infrastructures integration

A. V. Baranova, V. V. Korenkovab, V. V. Yurchenkoc, N. A. Balashova, N. A. Kutovskiyab, R. N. Semenovab, S. Ya. Svistunovc

a Laboratory of Information Technologies, Joint Institute for Nuclear Research, 6 Joliot-Curie st., Dubna, Moscow region, 141980, Russia
b Plekhanov Russian State University of Economics, 36 Stremyanny per., Moscow, 117997, Russia
c Bogolyubov Institute for Theoretical Physics, 14-b Metrolohichna st., Kiev, 03680, Ukraine
Full-text PDF (627 kB) Citations (5)
References:
Abstract: One of the important direction of cloud technologies development nowadays is a creation of methods for integration of various cloud infrastructures. An actuality of such direction in academic field is caused by a frequent lack of own computing resources and a necessity to attract additional ones. This article is dedicated to existing approaches to cloud infrastructures integration with each other: federations and so called ‘cloud bursting’. A ‘federation’ in terms of OpenNebula cloud platform is built on a ‘one master zone and several slave ones’ schema. A term ‘zone’ means a separate cloud infrastructure in the federation. All zones in such kind of integration have a common database of users and the whole federation is managed via master zone only. Such approach is most suitable for a case when cloud infrastructures of geographically distributed branches of a single organization need to be integrated. But due to its high centralization it's not appropriate when one needs to join cloud infrastructures of different organizations. Moreover it's not acceptable at all in case of clouds based on different software platforms. A model of federative integration implemented in EGI Federated Cloud allows to connect clouds based on different software platforms but it requires a deployment of sufficient amount of additional services which are specific for EGI Federated Cloud only. It makes such approach is one-purpose and uncommon one. A ‘cloud bursting’ model has no limitations listed above but in case of OpenNebula platform what the Laboratory of Information Technologies of Joint Institute for Nuclear Research (LIT JINR) cloud infrastructure is based on such model was implemented for an integration with a certain set of commercial cloud resources providers. Taking into account an article authors' experience in joining clouds of organizations they represent as well as with EGI Federation Cloud a ‘cloud bursting’ driver was developed by LIT JINR cloud team for OpenNebula-based clouds integration with each other as well as with OpenStack-based ones. The driver's architecture, technologies and protocols it relies on and an experience of its usage are described in the article.
Keywords: EGI Federated Cloud, OpenNebula, OpenStack, cloud bursting, cloud computing, integration.
Funding agency Grant number
Russian Foundation for Basic Research 14-07-90405
The work related with cloud bursting driver development and clouds integration was supported by Russian Foundation for Basic Research (RFBR) grant #14-07-90405 ‘Cloud computing technologies development and integration into BITP and LIT JINR Tier-2 grid sites for ALICE experiment data processing’.
Received: 16.12.2015
Revised: 21.03.2016
Accepted: 22.03.2016
Document Type: Article
UDC: 004.75
Language: Russian
Citation: A. V. Baranov, V. V. Korenkov, V. V. Yurchenko, N. A. Balashov, N. A. Kutovskiy, R. N. Semenov, S. Ya. Svistunov, “Approaches to cloud infrastructures integration”, Computer Research and Modeling, 8:3 (2016), 583–590
Citation in format AMSBIB
\Bibitem{BarKorYur16}
\by A.~V.~Baranov, V.~V.~Korenkov, V.~V.~Yurchenko, N.~A.~Balashov, N.~A.~Kutovskiy, R.~N.~Semenov, S.~Ya.~Svistunov
\paper Approaches to cloud infrastructures integration
\jour Computer Research and Modeling
\yr 2016
\vol 8
\issue 3
\pages 583--590
\mathnet{http://mi.mathnet.ru/crm13}
\crossref{https://doi.org/10.20537/2076-7633-2016-8-3-583-590}
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  • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Research and Modeling
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