Performance evaluation of cloud computing accounting for expenses on information security

Performance evaluation of cloud computing accounting for expenses on information security

An approach to the performance evaluation of cloud computing accounting for the expenses on information security is proposed. For this purpose the model of multi-channel non-Markov queueing system with a “warm-up” is used. When applied to information security at cloud computing...

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Bibliographic Details
Main Authors: Anatoly Khomonenko, Sergey Gindin
Format: Article
Language:English
Published: FRUCT 2016-04-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
Cloud computing
Information security
Distributed data processing
Performance evaluation
Queueing systems
Online Access:https://fruct.org/publications/fruct18/files/Kho.pdf
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spelling doaj-d8d071c6db994258bedf4ea329dca17e2020-11-24T21:23:00ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372016-04-016641810010510.1109/FRUCT-ISPIT.2016.7561514Performance evaluation of cloud computing accounting for expenses on information securityAnatoly Khomonenko0Sergey Gindin1Petersburg State Transport University, Saint Petersburg, RussiaPetersburg State Transport University, Saint Petersburg, RussiaAn approach to the performance evaluation of cloud computing accounting for the expenses on information security is proposed. For this purpose the model of multi-channel non-Markov queueing system with a “warm-up” is used. When applied to information security at cloud computing warm-up can be understood as: user/terminal authentication, network encryption, caching database queries, on-demand resource allocation, etc. The study demonstrates the influence of the “warm-up” process on the cloud computing performance and shows the need to collect data and examine “warm-up” patterns to assure that the system capabilities are appropriate for significantly different levels and patterns of demand. Obtained results of numerical experiments show the influence patterns which the “warm-up” process has on the system performance.https://fruct.org/publications/fruct18/files/Kho.pdf Cloud computingInformation securityDistributed data processingPerformance evaluationQueueing systems
collection DOAJ
language English
format Article
sources DOAJ
author Anatoly Khomonenko
Sergey Gindin
spellingShingle Anatoly Khomonenko
Sergey Gindin
Performance evaluation of cloud computing accounting for expenses on information security
Proceedings of the XXth Conference of Open Innovations Association FRUCT
Cloud computing
Information security
Distributed data processing
Performance evaluation
Queueing systems
author_facet Anatoly Khomonenko
Sergey Gindin
author_sort Anatoly Khomonenko
title Performance evaluation of cloud computing accounting for expenses on information security
title_short Performance evaluation of cloud computing accounting for expenses on information security
title_full Performance evaluation of cloud computing accounting for expenses on information security
title_fullStr Performance evaluation of cloud computing accounting for expenses on information security
title_full_unstemmed Performance evaluation of cloud computing accounting for expenses on information security
title_sort performance evaluation of cloud computing accounting for expenses on information security
publisher FRUCT
series Proceedings of the XXth Conference of Open Innovations Association FRUCT
issn 2305-7254
2343-0737
publishDate 2016-04-01
description An approach to the performance evaluation of cloud computing accounting for the expenses on information security is proposed. For this purpose the model of multi-channel non-Markov queueing system with a “warm-up” is used. When applied to information security at cloud computing warm-up can be understood as: user/terminal authentication, network encryption, caching database queries, on-demand resource allocation, etc. The study demonstrates the influence of the “warm-up” process on the cloud computing performance and shows the need to collect data and examine “warm-up” patterns to assure that the system capabilities are appropriate for significantly different levels and patterns of demand. Obtained results of numerical experiments show the influence patterns which the “warm-up” process has on the system performance.
topic Cloud computing
Information security
Distributed data processing
Performance evaluation
Queueing systems
url https://fruct.org/publications/fruct18/files/Kho.pdf
work_keys_str_mv AT anatolykhomonenko performanceevaluationofcloudcomputingaccountingforexpensesoninformationsecurity
AT sergeygindin performanceevaluationofcloudcomputingaccountingforexpensesoninformationsecurity
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