Spectral Expansion Method for Cloud Reliability Analysis
Cloud computing is a computing hypothesis, where a huge group of systems is linked together in private, public, or hybrid network, to offer dynamically amendable infrastructure for data storage, file storage, and application. With this emerging technology, application hosting, delivery, content stor...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Journal of Computer Networks and Communications |
| Online Access: | http://dx.doi.org/10.1155/2019/4754615 |
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| author | K. Kotteswari A. Bharathi |
| author_facet | K. Kotteswari A. Bharathi |
| author_sort | K. Kotteswari |
| collection | DOAJ |
| description | Cloud computing is a computing hypothesis, where a huge group of systems is linked together in private, public, or hybrid network, to offer dynamically amendable infrastructure for data storage, file storage, and application. With this emerging technology, application hosting, delivery, content storage, and reduced computation cost are achieved, and it acts as an essential module for the backbone of the Internet of Things (IoT). The efficiency of cloud service providers (CSP) could be improved by considering significant factors such as availability, reliability, usability, security, responsiveness, and elasticity. Assessment of these factors leads to efficiency in designing a scheduler for CSP. These metrics also improved the quality of service (QoS) in the cloud. Many existing models and approaches evaluate these metrics. But these existing approaches do not offer efficient outcome. In this paper, a prominent performance model named the “spectral expansion method (SPM)” evaluates cloud reliability. The spectral expansion method (SPM) is a huge technique useful in reliability and performance modelling of the computing system. This approach solves the Markov model of cloud service providers (CSP) to predict the reliability. The SPM is better compared to matrix-geometric methods. |
| format | Article |
| id | doaj-art-681d293037b54f668809685ad81c731b |
| institution | Kabale University |
| issn | 2090-7141 2090-715X |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Computer Networks and Communications |
| spelling | doaj-art-681d293037b54f668809685ad81c731b2025-02-03T01:12:23ZengWileyJournal of Computer Networks and Communications2090-71412090-715X2019-01-01201910.1155/2019/47546154754615Spectral Expansion Method for Cloud Reliability AnalysisK. Kotteswari0A. Bharathi1Department of Computer Science and Engineering, Annai Mira College of Engg & Techn., Vellore, IndiaDepartment of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam, IndiaCloud computing is a computing hypothesis, where a huge group of systems is linked together in private, public, or hybrid network, to offer dynamically amendable infrastructure for data storage, file storage, and application. With this emerging technology, application hosting, delivery, content storage, and reduced computation cost are achieved, and it acts as an essential module for the backbone of the Internet of Things (IoT). The efficiency of cloud service providers (CSP) could be improved by considering significant factors such as availability, reliability, usability, security, responsiveness, and elasticity. Assessment of these factors leads to efficiency in designing a scheduler for CSP. These metrics also improved the quality of service (QoS) in the cloud. Many existing models and approaches evaluate these metrics. But these existing approaches do not offer efficient outcome. In this paper, a prominent performance model named the “spectral expansion method (SPM)” evaluates cloud reliability. The spectral expansion method (SPM) is a huge technique useful in reliability and performance modelling of the computing system. This approach solves the Markov model of cloud service providers (CSP) to predict the reliability. The SPM is better compared to matrix-geometric methods.http://dx.doi.org/10.1155/2019/4754615 |
| spellingShingle | K. Kotteswari A. Bharathi Spectral Expansion Method for Cloud Reliability Analysis Journal of Computer Networks and Communications |
| title | Spectral Expansion Method for Cloud Reliability Analysis |
| title_full | Spectral Expansion Method for Cloud Reliability Analysis |
| title_fullStr | Spectral Expansion Method for Cloud Reliability Analysis |
| title_full_unstemmed | Spectral Expansion Method for Cloud Reliability Analysis |
| title_short | Spectral Expansion Method for Cloud Reliability Analysis |
| title_sort | spectral expansion method for cloud reliability analysis |
| url | http://dx.doi.org/10.1155/2019/4754615 |
| work_keys_str_mv | AT kkotteswari spectralexpansionmethodforcloudreliabilityanalysis AT abharathi spectralexpansionmethodforcloudreliabilityanalysis |