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Reliability evaluation for multi-state network with cloud and fog computing by considering all transmission mechanisms.

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Title: Reliability evaluation for multi-state network with cloud and fog computing by considering all transmission mechanisms.
Authors: Huang, Ding-Hsiang1 (AUTHOR) dhhuang@thu.edu.tw
Source: Annals of Operations Research. Jun2025, Vol. 349 Issue 1, p67-86. 20p.
Subjects: Cloud computing, Computing platforms, Data transmission systems, Decision making, Performance theory
Abstract: A cloud and fog distributed network is a necessary computing platform for hardware devices that an application, program or process executes upon. In order to manage such the network, a multi-state cloud and fog distributed network (MCFDN) is constructed. MCFDN reliability is proposed for evaluating performance of the MCFDN in the study. It is defined as the probability that demands can be transmitted through the MCFDN. Several phases of the data transmission exist in the MCFDN. The demands generated from data senders (such as IoT devices) can transmit to fog servers and cloud servers. When focused on the demands on the fog servers (resp. cloud servers), the demands would be compressed and transmitted back to the data senders and to the cloud servers (fog servers). Based on the transmission mechanisms, an algorithm is developed to calculate MCFDN reliability by elucidating flow relationships among the data senders, fog servers, and cloud servers. A benchmark is provided to demonstrate and validate the applicability of the proposed methodology. Finally, managers can manage and make suitable decisions for the cloud and fog distributed network by MCFDN reliability. [ABSTRACT FROM AUTHOR]
Copyright of Annals of Operations Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Reliability evaluation for multi-state network with cloud and fog computing by considering all transmission mechanisms.
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  Data: <searchLink fieldCode="AR" term="%22Huang%2C+Ding-Hsiang%22">Huang, Ding-Hsiang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> dhhuang@thu.edu.tw</i>
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  Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>. Jun2025, Vol. 349 Issue 1, p67-86. 20p.
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  Data: <searchLink fieldCode="DE" term="%22Cloud+computing%22">Cloud computing</searchLink><br /><searchLink fieldCode="DE" term="%22Computing+platforms%22">Computing platforms</searchLink><br /><searchLink fieldCode="DE" term="%22Data+transmission+systems%22">Data transmission systems</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Performance+theory%22">Performance theory</searchLink>
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  Data: A cloud and fog distributed network is a necessary computing platform for hardware devices that an application, program or process executes upon. In order to manage such the network, a multi-state cloud and fog distributed network (MCFDN) is constructed. MCFDN reliability is proposed for evaluating performance of the MCFDN in the study. It is defined as the probability that demands can be transmitted through the MCFDN. Several phases of the data transmission exist in the MCFDN. The demands generated from data senders (such as IoT devices) can transmit to fog servers and cloud servers. When focused on the demands on the fog servers (resp. cloud servers), the demands would be compressed and transmitted back to the data senders and to the cloud servers (fog servers). Based on the transmission mechanisms, an algorithm is developed to calculate MCFDN reliability by elucidating flow relationships among the data senders, fog servers, and cloud servers. A benchmark is provided to demonstrate and validate the applicability of the proposed methodology. Finally, managers can manage and make suitable decisions for the cloud and fog distributed network by MCFDN reliability. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Annals of Operations Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10479-023-05467-3
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        Text: English
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      – SubjectFull: Computing platforms
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      – SubjectFull: Data transmission systems
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      – SubjectFull: Performance theory
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              Text: Jun2025
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