Digital Cloud Environment: Present Challenges and Future Forecast
This article addresses the challenges of a digital cloud environment when it comes to global scalability with a large number of remote servers and an unsecure public cloud, such as Amazon. The goal of the study was to work out an approach for evaluating the reasonable system capacity under heavy wor...
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Online Access: | https://www.mdpi.com/1999-5903/12/5/82 |
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doaj-270830da97624721b2e99f06e761659f2020-11-25T02:11:22ZengMDPI AGFuture Internet1999-59032020-04-0112828210.3390/fi12050082Digital Cloud Environment: Present Challenges and Future ForecastSerg Mescheryakov0Dmitry Shchemelinin1Konstantin Izrailov2Victor Pokussov3Department of Computer Science, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, RussiaDepartment of Computer Science, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, RussiaDepartment of Secured Communication Systems, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, 193232 St. Petersburg, RussiaKazakhstan Information Security Association, Almaty 050022, KazakhstanThis article addresses the challenges of a digital cloud environment when it comes to global scalability with a large number of remote servers and an unsecure public cloud, such as Amazon. The goal of the study was to work out an approach for evaluating the reasonable system capacity under heavy workload. For that purpose, Zabbix monitoring solution is used and business metrics are applied in relation to existing system ones. A prediction data model is proposed to compute the future forecast of the user activity based on the collected historical statistics and to verify whether capacity adjustment is possible or not. The results of capacity planning are implemented at Genesys International Telecommunications Company. System analysis of the production environment indicates the possibility to downscale the capacity of certain virtual servers, which allowed savings to the annual operational costs of $3500 (50%) for each affected server.https://www.mdpi.com/1999-5903/12/5/82internet of thingscyber securitypublic clouddigital environmentvirtual machinedigital transformation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Serg Mescheryakov Dmitry Shchemelinin Konstantin Izrailov Victor Pokussov |
spellingShingle |
Serg Mescheryakov Dmitry Shchemelinin Konstantin Izrailov Victor Pokussov Digital Cloud Environment: Present Challenges and Future Forecast Future Internet internet of things cyber security public cloud digital environment virtual machine digital transformation |
author_facet |
Serg Mescheryakov Dmitry Shchemelinin Konstantin Izrailov Victor Pokussov |
author_sort |
Serg Mescheryakov |
title |
Digital Cloud Environment: Present Challenges and Future Forecast |
title_short |
Digital Cloud Environment: Present Challenges and Future Forecast |
title_full |
Digital Cloud Environment: Present Challenges and Future Forecast |
title_fullStr |
Digital Cloud Environment: Present Challenges and Future Forecast |
title_full_unstemmed |
Digital Cloud Environment: Present Challenges and Future Forecast |
title_sort |
digital cloud environment: present challenges and future forecast |
publisher |
MDPI AG |
series |
Future Internet |
issn |
1999-5903 |
publishDate |
2020-04-01 |
description |
This article addresses the challenges of a digital cloud environment when it comes to global scalability with a large number of remote servers and an unsecure public cloud, such as Amazon. The goal of the study was to work out an approach for evaluating the reasonable system capacity under heavy workload. For that purpose, Zabbix monitoring solution is used and business metrics are applied in relation to existing system ones. A prediction data model is proposed to compute the future forecast of the user activity based on the collected historical statistics and to verify whether capacity adjustment is possible or not. The results of capacity planning are implemented at Genesys International Telecommunications Company. System analysis of the production environment indicates the possibility to downscale the capacity of certain virtual servers, which allowed savings to the annual operational costs of $3500 (50%) for each affected server. |
topic |
internet of things cyber security public cloud digital environment virtual machine digital transformation |
url |
https://www.mdpi.com/1999-5903/12/5/82 |
work_keys_str_mv |
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