Cloud-Based Software Development Lifecycle: A Simplified Algorithm for Cloud Service Provider Evaluation with Metric Analysis
At present, hundreds of cloud vendors in the global market provide various services based on a customer’s requirements. All cloud vendors are not the same in terms of the number of services, infrastructure availability, security strategies, cost per customer, and reputation in the market. Thus, soft...
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2023-06-01
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| Series: | Big Data Mining and Analytics |
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| Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2022.9020016 |
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| author | Santhosh S Narayana Swamy Ramaiah |
| author_facet | Santhosh S Narayana Swamy Ramaiah |
| author_sort | Santhosh S |
| collection | DOAJ |
| description | At present, hundreds of cloud vendors in the global market provide various services based on a customer’s requirements. All cloud vendors are not the same in terms of the number of services, infrastructure availability, security strategies, cost per customer, and reputation in the market. Thus, software developers and organizations face a dilemma when choosing a suitable cloud vendor for their developmental activities. Thus, there is a need to evaluate various cloud service providers (CSPs) and platforms before choosing a suitable vendor. Already existing solutions are either based on simulation tools as per the requirements or evaluated concerning the quality of service attributes. However, they require more time to collect data, simulate and evaluate the vendor. The proposed work compares various CSPs in terms of major metrics, such as establishment, services, infrastructure, tools, pricing models, market share, etc., based on the comparison, parameter ranking, and weightage allocated. Furthermore, the parameters are categorized depending on the priority level. The weighted average is calculated for each CSP, after which the values are sorted in descending order. The experimental results show the unbiased selection of CSPs based on the chosen parameters. The proposed parameter-ranking priority level weightage (PRPLW) algorithm simplifies the selection of the best-suited cloud vendor in accordance with the requirements of software development. |
| format | Article |
| id | doaj-art-7bc34803ae64453fb5229333e639db59 |
| institution | Kabale University |
| issn | 2096-0654 |
| language | English |
| publishDate | 2023-06-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Big Data Mining and Analytics |
| spelling | doaj-art-7bc34803ae64453fb5229333e639db592025-02-02T05:26:53ZengTsinghua University PressBig Data Mining and Analytics2096-06542023-06-016212713810.26599/BDMA.2022.9020016Cloud-Based Software Development Lifecycle: A Simplified Algorithm for Cloud Service Provider Evaluation with Metric AnalysisSanthosh S0Narayana Swamy Ramaiah1Computer Science & Engineering, Jain (Deemed-to-be University), Bangalore 562112, IndiaComputer Science & Engineering, Jain (Deemed-to-be University), Bangalore 562112, IndiaAt present, hundreds of cloud vendors in the global market provide various services based on a customer’s requirements. All cloud vendors are not the same in terms of the number of services, infrastructure availability, security strategies, cost per customer, and reputation in the market. Thus, software developers and organizations face a dilemma when choosing a suitable cloud vendor for their developmental activities. Thus, there is a need to evaluate various cloud service providers (CSPs) and platforms before choosing a suitable vendor. Already existing solutions are either based on simulation tools as per the requirements or evaluated concerning the quality of service attributes. However, they require more time to collect data, simulate and evaluate the vendor. The proposed work compares various CSPs in terms of major metrics, such as establishment, services, infrastructure, tools, pricing models, market share, etc., based on the comparison, parameter ranking, and weightage allocated. Furthermore, the parameters are categorized depending on the priority level. The weighted average is calculated for each CSP, after which the values are sorted in descending order. The experimental results show the unbiased selection of CSPs based on the chosen parameters. The proposed parameter-ranking priority level weightage (PRPLW) algorithm simplifies the selection of the best-suited cloud vendor in accordance with the requirements of software development.https://www.sciopen.com/article/10.26599/BDMA.2022.9020016cloud-based software development life cycle (sdlc)cloud evaluationparameter-ranking priority level weightage (prplw) algorithmcloud service providerssoftware engineering |
| spellingShingle | Santhosh S Narayana Swamy Ramaiah Cloud-Based Software Development Lifecycle: A Simplified Algorithm for Cloud Service Provider Evaluation with Metric Analysis Big Data Mining and Analytics cloud-based software development life cycle (sdlc) cloud evaluation parameter-ranking priority level weightage (prplw) algorithm cloud service providers software engineering |
| title | Cloud-Based Software Development Lifecycle: A Simplified Algorithm for Cloud Service Provider Evaluation with Metric Analysis |
| title_full | Cloud-Based Software Development Lifecycle: A Simplified Algorithm for Cloud Service Provider Evaluation with Metric Analysis |
| title_fullStr | Cloud-Based Software Development Lifecycle: A Simplified Algorithm for Cloud Service Provider Evaluation with Metric Analysis |
| title_full_unstemmed | Cloud-Based Software Development Lifecycle: A Simplified Algorithm for Cloud Service Provider Evaluation with Metric Analysis |
| title_short | Cloud-Based Software Development Lifecycle: A Simplified Algorithm for Cloud Service Provider Evaluation with Metric Analysis |
| title_sort | cloud based software development lifecycle a simplified algorithm for cloud service provider evaluation with metric analysis |
| topic | cloud-based software development life cycle (sdlc) cloud evaluation parameter-ranking priority level weightage (prplw) algorithm cloud service providers software engineering |
| url | https://www.sciopen.com/article/10.26599/BDMA.2022.9020016 |
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