Incentive approaches for cloud computing: challenges and solutions
Abstract Cloud computing enables highly configurable and reliable computing resources on a rentable per-use scheme, facilitating quick and cost-effective provisioning of large-scale applications. Thanks to the fast-paced evolution of cutting-edge technologies and the rapid spread of cloud-based solu...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2024-02-01
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| Series: | Journal of Engineering and Applied Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s44147-024-00389-8 |
| _version_ | 1827327349001027584 |
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| author | Fan Yunlong Luo Jie |
| author_facet | Fan Yunlong Luo Jie |
| author_sort | Fan Yunlong |
| collection | DOAJ |
| description | Abstract Cloud computing enables highly configurable and reliable computing resources on a rentable per-use scheme, facilitating quick and cost-effective provisioning of large-scale applications. Thanks to the fast-paced evolution of cutting-edge technologies and the rapid spread of cloud-based solutions, the cloud computing ecosystem is now part of our everyday lives. Nevertheless, cloud computing relies on highly sophisticated data centers comprising energy-consuming servers and equipment that require much energy. Stimulating cloud services for active participation and network contributions presents several challenges. Strategies based on artificial intelligence (AI), game theory, and blockchain have great potential to create an economically sustainable cloud ecosystem. This paper explores strategies grounded in AI, game theory, and blockchain to foster an economically sustainable cloud ecosystem. Informed by a survey study, our research delves into incentive approaches within cloud computing. Theoretical foundations, motivations, and enabling techniques are comprehensively examined to provide valuable insights for a broad audience. The primary contributions of this work lie in elucidating the application of AI, game theory, and blockchain to address challenges in incentivizing cloud services, paving the way for a more sustainable and efficient cloud computing landscape. |
| first_indexed | 2024-03-07T14:58:55Z |
| format | Article |
| id | doaj.art-dd8e22774858413897f7e891b227d4f9 |
| institution | Directory Open Access Journal |
| issn | 1110-1903 2536-9512 |
| language | English |
| last_indexed | 2024-03-07T14:58:55Z |
| publishDate | 2024-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Engineering and Applied Science |
| spelling | doaj.art-dd8e22774858413897f7e891b227d4f92024-03-05T19:16:17ZengSpringerOpenJournal of Engineering and Applied Science1110-19032536-95122024-02-0171111810.1186/s44147-024-00389-8Incentive approaches for cloud computing: challenges and solutionsFan Yunlong0Luo Jie1Yangzhou Marine Electronic Instruments InstituteYangzhou Marine Electronic Instruments InstituteAbstract Cloud computing enables highly configurable and reliable computing resources on a rentable per-use scheme, facilitating quick and cost-effective provisioning of large-scale applications. Thanks to the fast-paced evolution of cutting-edge technologies and the rapid spread of cloud-based solutions, the cloud computing ecosystem is now part of our everyday lives. Nevertheless, cloud computing relies on highly sophisticated data centers comprising energy-consuming servers and equipment that require much energy. Stimulating cloud services for active participation and network contributions presents several challenges. Strategies based on artificial intelligence (AI), game theory, and blockchain have great potential to create an economically sustainable cloud ecosystem. This paper explores strategies grounded in AI, game theory, and blockchain to foster an economically sustainable cloud ecosystem. Informed by a survey study, our research delves into incentive approaches within cloud computing. Theoretical foundations, motivations, and enabling techniques are comprehensively examined to provide valuable insights for a broad audience. The primary contributions of this work lie in elucidating the application of AI, game theory, and blockchain to address challenges in incentivizing cloud services, paving the way for a more sustainable and efficient cloud computing landscape.https://doi.org/10.1186/s44147-024-00389-8Cloud computingIoTArtificial intelligenceGame theoryBlockchain |
| spellingShingle | Fan Yunlong Luo Jie Incentive approaches for cloud computing: challenges and solutions Journal of Engineering and Applied Science Cloud computing IoT Artificial intelligence Game theory Blockchain |
| title | Incentive approaches for cloud computing: challenges and solutions |
| title_full | Incentive approaches for cloud computing: challenges and solutions |
| title_fullStr | Incentive approaches for cloud computing: challenges and solutions |
| title_full_unstemmed | Incentive approaches for cloud computing: challenges and solutions |
| title_short | Incentive approaches for cloud computing: challenges and solutions |
| title_sort | incentive approaches for cloud computing challenges and solutions |
| topic | Cloud computing IoT Artificial intelligence Game theory Blockchain |
| url | https://doi.org/10.1186/s44147-024-00389-8 |
| work_keys_str_mv | AT fanyunlong incentiveapproachesforcloudcomputingchallengesandsolutions AT luojie incentiveapproachesforcloudcomputingchallengesandsolutions |