An Energy-efficient Computing Offloading Framework for Blockchain-enabled Video Streaming Systems

【Author】 Yuan, Shijing; Li, Jie; Zhu, Yuxuan; Wu, Chentao; Ding, Yue

【Source】2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022)

【影响因子】

【Abstract】Blockchain and edge computing have been widely applied in video streaming systems. However, previous works lack a joint consideration of video redundancy and full utilization of edge resources (bandwidth resources, CPU frequency), resulting in suboptimal performance of video streaming systems. In this paper, we propose a computing offloading framework for blockchain-enabled video streaming systems to fully exploit edge resources and reduce energy consumption. Specifically, we formulate computing offloading, resource allocation, and adaptive compression as a joint optimization problem. We transform and decompose the original non-convex problem and propose an algorithm based on the alternating direction method of multipliers (ADMM) to solve the decomposed problem in a distributed manner. Simulation results demonstrate that our scheme can effectively reduce energy consumption and fully utilize the bandwidth and computational resources.

【Keywords】Edge computing; blockcahin; computing offloading; resource allocation; adaptive compression

【发表时间】2022

【收录时间】2023-05-06

【文献类型】理论模型

【主题类别】

区块链技术-协同技术-边缘计算