A novel blockchain enabled resource allocation and task offloading strategy in cloud computing environment
Large amounts of processing resources are required for the sensed raw big data processing during the data generation process. Furthermore, as sensed data are typically privacy sensitive, blockchain technology can be used to ensure the privacy concerns. This study examines a multiuser mobile offloadi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-07-01
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| Series: | Automatika |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/00051144.2024.2314906 |
| _version_ | 1797263563420598272 |
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| author | G. Senthilkumar K. N. Madhusudhan Y. Jeyasheela P. Ajitha |
| author_facet | G. Senthilkumar K. N. Madhusudhan Y. Jeyasheela P. Ajitha |
| author_sort | G. Senthilkumar |
| collection | DOAJ |
| description | Large amounts of processing resources are required for the sensed raw big data processing during the data generation process. Furthermore, as sensed data are typically privacy sensitive, blockchain technology can be used to ensure the privacy concerns. This study examines a multiuser mobile offloading network that consists of a cloud server located remotely and an edge node. We formulate the offloading problem as the joint optimization of task offloading decision making of all users, the computation resource allocation among the edge executing applications, and the radio resource assignment among all the remote-processing applications. The goal is to minimize the maximum weighted cost of all users. When compared to other benchmark approaches, the simulation results show that the proposed algorithm achieves optimal results in terms of both energy consumption and delay as a result of collaboration. Finally the resource allocation and optimal offloading strategy with 93% efficiency is obtained. |
| first_indexed | 2024-04-25T00:15:00Z |
| format | Article |
| id | doaj.art-e014687cada74a00861556d566e1e20f |
| institution | Directory Open Access Journal |
| issn | 0005-1144 1848-3380 |
| language | English |
| last_indexed | 2024-04-25T00:15:00Z |
| publishDate | 2024-07-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Automatika |
| spelling | doaj.art-e014687cada74a00861556d566e1e20f2024-03-13T06:45:58ZengTaylor & Francis GroupAutomatika0005-11441848-33802024-07-0165397398210.1080/00051144.2024.2314906A novel blockchain enabled resource allocation and task offloading strategy in cloud computing environmentG. Senthilkumar0K. N. Madhusudhan1Y. Jeyasheela2P. Ajitha3Dept. of Computer Science and Engineering, Panimalar Engineering College, Chennai, IndiaDepartment of Electronics and Communication Engineering, B.M.S. College of Engineering, Bangalore, IndiaDept. of IT, NICHE, Thuckalay, IndiaDepartment of IT, School of Computing, Sathyabama Institute of Science and Technology, Chennai, IndiaLarge amounts of processing resources are required for the sensed raw big data processing during the data generation process. Furthermore, as sensed data are typically privacy sensitive, blockchain technology can be used to ensure the privacy concerns. This study examines a multiuser mobile offloading network that consists of a cloud server located remotely and an edge node. We formulate the offloading problem as the joint optimization of task offloading decision making of all users, the computation resource allocation among the edge executing applications, and the radio resource assignment among all the remote-processing applications. The goal is to minimize the maximum weighted cost of all users. When compared to other benchmark approaches, the simulation results show that the proposed algorithm achieves optimal results in terms of both energy consumption and delay as a result of collaboration. Finally the resource allocation and optimal offloading strategy with 93% efficiency is obtained.https://www.tandfonline.com/doi/10.1080/00051144.2024.2314906Block-chainIoTresource allocationcloud computing and joint task offloading |
| spellingShingle | G. Senthilkumar K. N. Madhusudhan Y. Jeyasheela P. Ajitha A novel blockchain enabled resource allocation and task offloading strategy in cloud computing environment Automatika Block-chain IoT resource allocation cloud computing and joint task offloading |
| title | A novel blockchain enabled resource allocation and task offloading strategy in cloud computing environment |
| title_full | A novel blockchain enabled resource allocation and task offloading strategy in cloud computing environment |
| title_fullStr | A novel blockchain enabled resource allocation and task offloading strategy in cloud computing environment |
| title_full_unstemmed | A novel blockchain enabled resource allocation and task offloading strategy in cloud computing environment |
| title_short | A novel blockchain enabled resource allocation and task offloading strategy in cloud computing environment |
| title_sort | novel blockchain enabled resource allocation and task offloading strategy in cloud computing environment |
| topic | Block-chain IoT resource allocation cloud computing and joint task offloading |
| url | https://www.tandfonline.com/doi/10.1080/00051144.2024.2314906 |
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