Resource Allocation in Blockchain System Based on Mobile Edge Computing Networks

Wu, L., Li, L., Li, X., Yu, Y., Zhang, L. , Pan, M. and Han, Z. (2019) Resource Allocation in Blockchain System Based on Mobile Edge Computing Networks. In: 11th International Conference on Wireless Communications and Signal Processing (WCSP 2019), Xi'an, China, 23-25 Oct 2019, ISBN 9781728135557 (doi:10.1109/WCSP.2019.8927902)

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Abstract

Blockchain is widely adopted in many applications as a promising distributed data management framework. However, the high demanding on computing and communication resources may pose a bottleneck for blockchain to be applied in wireless connected users, which are assumed a main constituent part for the future digital society. In this paper, in order to solve the problems of insufficient computing resources faced in the “Mining” process, we consider a blockchain system based on the mobile edge computing (MEC) network. The computation-intensive tasks of blockchain users are offloaded to MEC servers, and the calculation tasks offloading problem in the system is formulated as a large-scale mixed integer nonlinear programming (MINLP) problem. The MINLP problem proposed in the blockchain system is solved by an algorithmic framework based on the Benders decomposition method. Meanwhile, we propose the branch-and-bound method and the dichotomy-the alternating direction method of multipliers (ADMM) method instead of the dinkelbach-ADMM to solve the mixed integer programming master problem and the fractional programming sub-problem, respectively. Simulation results demonstrate that the proposed algorithm can save the energy consumption in the blockchain system and reduce computing time of the “Mining” process.

Item Type:Conference Proceedings
Additional Information:This work was supported in part by the Aerospace Science and Technology Innovation Fund of the China Aerospace Science and Technology Corporation, in part by the Shanghai Aerospace Science and Technology Innovation Fund (SAST2018045, SAST2016034 and SAST2017049), in part by the Seed Foundation of Innovation and Creation for Graduate Students in Northwestern Polytechnical University (No. ZZ2019024), in part by the Seed Foundation of Innovation and Creation for Graduate Students in Northwestern Polytechnical University, in part by US MURI AFOSR MURI 18RT0073 , NSF CNS1717454, CNS- 1731424, CNS-1702850, CNS-1646607.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Zhang, Dr Lei
Authors: Wu, L., Li, L., Li, X., Yu, Y., Zhang, L., Pan, M., and Han, Z.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
ISSN:2472-7628
ISBN:9781728135557

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