Blockchain-Enabled Task Offloading and Resource Allocation in Fog Computing Networks
To address the data security and user privacy issues in the task offloading process and resource allocation of the fog computing network, a blockchain-enabled fog computing network task offloading model is proposed in this paper. Furthermore, to reduce the network utility which is defined as the tot...
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| Veröffentlicht in: | Wireless communications and mobile computing 2021, Vol.2021 (1) |
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| creator | Huang, Xiaoge Deng, Xuesong Liang, Chengchao Fan, Weiwei |
| description | To address the data security and user privacy issues in the task offloading process and resource allocation of the fog computing network, a blockchain-enabled fog computing network task offloading model is proposed in this paper. Furthermore, to reduce the network utility which is defined as the total energy consumption of the fog computing network and the total delay of the blockchain network, a blockchain-enabled fog computing network task offloading and resource allocation algorithm (TR-BFCN) is proposed to jointly optimize the task offloading decision and resource allocation. Finally, the original nonconvex optimization problem is converted into two suboptimization problems, namely, task offloading decisions and computational resource allocations. Moreover, a two-stage Stackelberg game model is designed to obtain the optimal amount of purchased resource and the optimal resource pricing. Simulation results show that the proposed TR-BFCN algorithm can effectively reduce the network utility compared with other algorithms. |
| doi_str_mv | 10.1155/2021/7518534 |
| format | Article |
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Furthermore, to reduce the network utility which is defined as the total energy consumption of the fog computing network and the total delay of the blockchain network, a blockchain-enabled fog computing network task offloading and resource allocation algorithm (TR-BFCN) is proposed to jointly optimize the task offloading decision and resource allocation. Finally, the original nonconvex optimization problem is converted into two suboptimization problems, namely, task offloading decisions and computational resource allocations. Moreover, a two-stage Stackelberg game model is designed to obtain the optimal amount of purchased resource and the optimal resource pricing. Simulation results show that the proposed TR-BFCN algorithm can effectively reduce the network utility compared with other algorithms.</description><identifier>ISSN: 1530-8669</identifier><identifier>EISSN: 1530-8677</identifier><identifier>DOI: 10.1155/2021/7518534</identifier><language>eng</language><publisher>Oxford: Hindawi</publisher><subject>Algorithms ; Blockchain ; Cloud computing ; Communication ; Computation offloading ; Cryptography ; Energy consumption ; Information sharing ; Internet of Things ; Network security ; Optimization ; Privacy ; Random variables ; Reputations ; Resource allocation ; Trust</subject><ispartof>Wireless communications and mobile computing, 2021, Vol.2021 (1)</ispartof><rights>Copyright © 2021 Xiaoge Huang et al.</rights><rights>Copyright © 2021 Xiaoge Huang et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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| source | Wiley Online Library Open Access; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Algorithms Blockchain Cloud computing Communication Computation offloading Cryptography Energy consumption Information sharing Internet of Things Network security Optimization Privacy Random variables Reputations Resource allocation Trust |
| title | Blockchain-Enabled Task Offloading and Resource Allocation in Fog Computing Networks |
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