Financial service composition with various privacy levels in multiple cloud environment
Abstract This paper focuses on the financial service composition problem in a multi-cloud environment while ensuring varying levels of privacy. In today's digital era, financial institutions increasingly rely on cloud computing to deliver a wide range of services, necessitating the efficient co...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-02-01
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| Series: | Journal of Cloud Computing: Advances, Systems and Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13677-025-00736-x |
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| _version_ | 1849724112843309056 |
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| author | Xianmei Hua Xinrong Zhan Feng Li Junwen Lu |
| author_facet | Xianmei Hua Xinrong Zhan Feng Li Junwen Lu |
| author_sort | Xianmei Hua |
| collection | DOAJ |
| description | Abstract This paper focuses on the financial service composition problem in a multi-cloud environment while ensuring varying levels of privacy. In today's digital era, financial institutions increasingly rely on cloud computing to deliver a wide range of services, necessitating the efficient composition of services across multiple cloud platforms. However, the integration of these services poses significant challenges, particularly in managing privacy levels to protect sensitive financial data. To solve these challenges, a novel approach for financial service composition based on Quaternion Genetic Algorithms (QGA) is proposed. Our method optimizes the scheduling of cloud-based services to minimize execution time, energy consumption, and the file size transferred between clouds, while meeting specified privacy requirements. Simulations show that our proposed method can dynamically adapt to varying privacy constraints and achieve an optimal balance between other targets and privacy requirements. |
| format | Article |
| id | doaj-art-e731a68084e44d8e90743a455b596a80 |
| institution | DOAJ |
| issn | 2192-113X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Cloud Computing: Advances, Systems and Applications |
| spelling | doaj-art-e731a68084e44d8e90743a455b596a802025-08-20T03:10:50ZengSpringerOpenJournal of Cloud Computing: Advances, Systems and Applications2192-113X2025-02-0114111510.1186/s13677-025-00736-xFinancial service composition with various privacy levels in multiple cloud environmentXianmei Hua0Xinrong Zhan1Feng Li2Junwen Lu3School of Data and Computer Science, Xiamen Institute of TechnologySchool of Data and Computer Science, Xiamen Institute of TechnologyXiamen Eternal Info Technology Co., LTDSchool of Computer and Information and Engineering, Xiamen University of TechnologyAbstract This paper focuses on the financial service composition problem in a multi-cloud environment while ensuring varying levels of privacy. In today's digital era, financial institutions increasingly rely on cloud computing to deliver a wide range of services, necessitating the efficient composition of services across multiple cloud platforms. However, the integration of these services poses significant challenges, particularly in managing privacy levels to protect sensitive financial data. To solve these challenges, a novel approach for financial service composition based on Quaternion Genetic Algorithms (QGA) is proposed. Our method optimizes the scheduling of cloud-based services to minimize execution time, energy consumption, and the file size transferred between clouds, while meeting specified privacy requirements. Simulations show that our proposed method can dynamically adapt to varying privacy constraints and achieve an optimal balance between other targets and privacy requirements.https://doi.org/10.1186/s13677-025-00736-xService compositionPrivacy levelFinancial cloudsGA |
| spellingShingle | Xianmei Hua Xinrong Zhan Feng Li Junwen Lu Financial service composition with various privacy levels in multiple cloud environment Journal of Cloud Computing: Advances, Systems and Applications Service composition Privacy level Financial clouds GA |
| title | Financial service composition with various privacy levels in multiple cloud environment |
| title_full | Financial service composition with various privacy levels in multiple cloud environment |
| title_fullStr | Financial service composition with various privacy levels in multiple cloud environment |
| title_full_unstemmed | Financial service composition with various privacy levels in multiple cloud environment |
| title_short | Financial service composition with various privacy levels in multiple cloud environment |
| title_sort | financial service composition with various privacy levels in multiple cloud environment |
| topic | Service composition Privacy level Financial clouds GA |
| url | https://doi.org/10.1186/s13677-025-00736-x |
| work_keys_str_mv | AT xianmeihua financialservicecompositionwithvariousprivacylevelsinmultiplecloudenvironment AT xinrongzhan financialservicecompositionwithvariousprivacylevelsinmultiplecloudenvironment AT fengli financialservicecompositionwithvariousprivacylevelsinmultiplecloudenvironment AT junwenlu financialservicecompositionwithvariousprivacylevelsinmultiplecloudenvironment |