Research on Optimization Scheme of Task Offloading in Blockchain-enabled Fog Networks

HUANG Xiaoge; LIU Xin; HE Yong; CHEN Qianbin

doi:10.11999/JEIT210413

Volume 44 Issue 7

Jul. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(7): 2440-2448

HUANG Xiaoge, LIU Xin, HE Yong, CHEN Qianbin. Research on Optimization Scheme of Task Offloading in Blockchain-enabled Fog Networks[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2440-2448. doi: 10.11999/JEIT210413

Citation:

HUANG Xiaoge, LIU Xin, HE Yong, CHEN Qianbin. Research on Optimization Scheme of Task Offloading in Blockchain-enabled Fog Networks[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2440-2448. doi: 10.11999/JEIT210413

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Research on Optimization Scheme of Task Offloading in Blockchain-enabled Fog Networks

doi: 10.11999/JEIT210413

College of Communication and Information Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (61831002), The Innovation Project of the Common Key Technology of Chongqing Science and Technology Industry (cstc2018jcyjAx0383)

Received Date: 2021-05-12
Accepted Date: 2021-12-27
Rev Recd Date: 2021-12-23

Available Online: 2022-01-14

Publish Date: 2022-07-25

Abstract

Abstract

The current rapid growth of Internet of Things (IoT) applications is a huge challenge to the computing power of user equipment. The Fog Computing (FC) network can provide short-distance and fast computing services for user equipment, and provides a solution for user equipment with limited resources and limited computing capabilities. A blockchain-enabled fog network model is proposed, in which user equipment can offload computationally intensive tasks to nodes with strong computational capabilities. In order to minimize task processing delay and energy consumption, two task offloading models are introduced, namely Device-to-Device (D2D) collaboration group task offloading and Fog Nodes (FNs) task offloading. In addition, in view of the data security problem of the fog computing network task offloading process, blockchain technology is introduced to build a decentralized distributed ledger to prevent malicious nodes from modifying transaction information and achieve safe and reliable data transmission. In order to reduce the delay and energy consumption of the consensus mechanism, an improved voting-based Delegated-Proof-of-Stake (DPoS) consensus mechanism is proposed. FNs with votes exceeding the threshold form a verification set, and the FNs in the verification set take turns as the manager to generate new blocks. Finally, with the goal of minimizing the network cost, the task offloading decision, transmission rate allocation and computing resource allocation are jointly optimized, and the Task Offloading Decision and Resource Allocation (TODRA) algorithm is proposed to solve the problem. The effectiveness of the algorithm is verified by simulation experiments.
- Task offloading,
- Fog Computing (FC) network,
- Blockchain,
- Resource allocation

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References(16)

References

[1]	MILLER D. Blockchain and the internet of things in the industrial sector[J]. IT Professional, 2018, 20(3): 15–18. doi: 10.1109/MITP.2018.032501742
[2]	MAO Yuyi, YOU Changsheng, ZHANG Jun, et al. A survey on mobile edge computing: The communication perspective[J]. IEEE Communications Surveys & Tutorials, 2017, 19(4): 2322–2358. doi: 10.1109/COMST.2017.2745201
[3]	BACCARELLI E, SCARPINITI M, NARANJO P G V, et al. Fog of social IoT: When the fog becomes social[J]. IEEE Network, 2018, 32(4): 68–80. doi: 10.1109/MNET.2018.1700031
[4]	HUANG Xiaoge, CUI Yifan, CHEN Qianbin, et al. Joint task offloading and QoS-aware resource allocation in fog-enabled internet-of-things networks[J]. IEEE Internet of Things Journal, 2020, 7(8): 7194–7206. doi: 10.1109/JIOT.2020.2982670
[5]	SHARMA P K, CHEN M Y, and PARK J H. A software defined fog node based distributed blockchain cloud architecture for IoT[J]. IEEE Access, 2017, 6: 115–124. doi: 10.1109/ACCESS.2017.2757955
[6]	HUANG Xiaoge, FAN Weiwei, CHEN Qianbin, et al. Energy-efficient resource allocation in fog computing networks with the candidate mechanism[J]. IEEE Internet of Things Journal, 2020, 7(9): 8502–8512. doi: 10.1109/JIOT.2020.2991481
[7]	FERRAG M A, DERDOUR M, MITHUN MUKHERJEE M, et al. Blockchain technologies for the internet of things: Research issues and challenges[J]. IEEE Internet of Things Journal, 2019, 6(2): 2188–2204. doi: 10.1109/JIOT.2018.2882794
[8]	SHARMA P K, SINGH S, JEONG Y S, et al. DistBlockNet: A distributed blockchains-based secure SDN architecture for IoTnetworks[J]. IEEE Communications Magazine, 2017, 55(9): 78–85. doi: 10.1109/MCOM.2017.1700041
[9]	CHEN M H, DONG Min, and LIANG Ben. Resource sharing of a computing access point for multi-user mobile cloud offloading with delay constraints[J]. IEEE Transactions on Mobile Computing, 2018, 17(12): 2868–2881. doi: 10.1109/TMC.2018.2815533
[10]	FENG Jie, YU F R, PEI Qingqi, et al. Joint optimization of radio and computational resources allocation in blockchain-enabled mobile edge computing systems[J]. IEEE Transactions on Wireless Communications, 2020, 19(6): 4321–4334. doi: 10.1109/TWC.2020.2982627
[11]	ZHANG Zhen, HONG Zicong, CHEN Wuhui, et al. Joint computation offloading and coin loaning for blockchain-empowered mobile-edge computing[J]. IEEE Internet of Things Journal, 2019, 6(6): 9934–9950. doi: 10.1109/JIOT.2019.2933445
[12]	YUAN Yingying, FENG Guangsheng, LV Hongwu, et al. A near-optimal resource allocation approach to computation offloading under D2D communications[C]. 2019 IEEE International Conference on Smart Internet of Things, Tianjin, China, 2019: 183–188.
[13]	ZHANG Jing, XIA Weiwei, YAN Feng, et al. Joint computation offloading and resource allocation optimization in heterogeneous networks with mobile edge computing[J]. IEEE Access, 2018, 6: 19324–19337. doi: 10.1109/ACCESS.2018.2819690
[14]	KUMAR G, L SAHA R, RAI M M, et al. Proof-of-work consensus approach in blockchain technology for cloud and fog computing using maximization-factorization statistics[J]. IEEE Internet of Things Journal, 2019, 6(4): 6835–6842. doi: 10.1109/JIOT.2019.2911969
[15]	WANG Siming, YE Dongdong, HUANG Xumin, et al. Consortium blockchain for secure resource sharing in vehicular edge computing: A contract-based approach[J]. IEEE Transactions on Network Science and Engineering, 2021, 8(2): 1189–1201. doi: 10.1109/TNSE.2020.3004475
[16]	XU Chenhan, WANG Kun, LI Peng, et al. Making big data open in edges: A resource-efficient blockchain-based approach[J]. IEEE Transactions on Parallel and Distributed Systems, 2019, 30(4): 870–882. doi: 10.1109/TPDS.2018.2871449