Haoyu Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Haoyu Wang has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Fabio Arena
Department of Engineering and Architecture, Kore University of Enna, Enna, Italy
1 shared publication - Giovanni Pau
Department of Computer Science and Engineering, University of Bologna, Bologna, Italy
1 shared publication - Lina Wang
Department of Communication Engineering, University of Science and Technology Beijing, Beijing, China
1 shared publication - Xueqiang Tao
Institute of Medical Support Technology, Academy of Systems Engineering, Tianjin 300161, China
1 shared publication - Zhichao Zhou
AsiaInfo Technology Co., Ltd., Beijing 100193, China
1 shared publication
Latest Publications
- Open Access
- 16 December 2019
- Published by MDPI AG in Applied Sciences
- Vol. 9 (24) , 5538
Blockchain-Based Resource Allocation Model in Fog Computing
Fog computing makes up for the shortcomings of cloud computing. It brings many advantages, but various peculiarities must be perceived, such as security, resource management, storage, and other features at the same time. This paper investigates the resource contribution model between the fog node and cloud or users when fog computing introduces blockchain. The proposed model practices the reward and punishment mechanism of the blockchain to boost the fog nodes to contribute resources actively. The behavior of the fog node in contributing resources and the completion degree of the task also for contributing resources are packaged into blocks and stored in the blockchain system to form a transparent, open, and tamper-free service evaluation index. The differential game method is employed to model and solve the above process and address the interaction between the optimal resource contribution strategy of the fog node and the optimal benefit under the optimal resource contribution strategy. Indirectly, this service evaluation index also brings long-term economic benefits to fog service providers. Besides, taking advantage of the performance characteristics of the collective maintenance of blockchain and the ability to establish a credible consensus mechanism in an untrusted environment, fog computing nodes, under the proposed architecture, can have specific security protection capabilities.
- 16 December 2019
- Published by MDPI AG in Applied Sciences
- Vol. 9 (24) , 5538
Open AccessBlockchain-Based Resource Allocation Model in Fog Computing
Fog computing makes up for the shortcomings of cloud computing. It brings many advantages, but various peculiarities must be perceived, such as security, resource management, storage, and other features at the same time. This paper investigates the resource contribution model between the fog node and cloud or users when fog computing introduces blockchain. The proposed model practices the reward and punishment mechanism of the blockchain to boost the fog nodes to contribute resources actively. The behavior of the fog node in contributing resources and the completion degree of the task also for contributing resources are packaged into blocks and stored in the blockchain system to form a transparent, open, and tamper-free service evaluation index. The differential game method is employed to model and solve the above process and address the interaction between the optimal resource contribution strategy of the fog node and the optimal benefit under the optimal resource contribution strategy. Indirectly, this service evaluation index also brings long-term economic benefits to fog service providers. Besides, taking advantage of the performance characteristics of the collective maintenance of blockchain and the ability to establish a credible consensus mechanism in an untrusted environment, fog computing nodes, under the proposed architecture, can have specific security protection capabilities.