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Resource Allocation for Video Transcoding and Delivery Based on Mobile Edge Computing and Blockchain

机译:基于移动边缘计算和区块链的视频转码和传递的资源分配

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By bringing computing capabilities to the network edge, mobile edge computing (MEC) has emerged as a promising technique to enable low-latency video streaming services. However, due to the rapid growth of the number of devices and the heterogeneous formats of the video streams, the traditionally centralized content delivery schemes are insufficient to provide secure, adaptive video services with low complexity. To achieve a decentralized content market among untruthful parties (e.g., users and operators), in this paper, we propose an effective video transcoding and delivery approach based on MEC and blockchain. In the proposed approach, we envision a set of blockchain-based smart contracts to build an autonomous content delivery market, where all the participants are financially enforced by smart contract terms. Then, users, small base stations (SBSs), and content provider (CP) are able to autonomously adjust their strategies according to the content market statistics. Moreover, we formulate the optimization problem, including resource allocation, determining content price and quality levels of contents, as a three-stage Stackelberg game. We analyze the subgame equilibrium for each stage and the interplays of the three-stage game. Lastly, an iterative algorithm is proposed to obtain the solution. Simulation results are presented to show the effectiveness of the proposed approach.
机译:通过将计算能力带到网络边缘,移动边缘计算(MEC)已成为实现低延迟视频流服务的有希望的技术。然而,由于设备数量的快速增长和视频流的异构形式,传统集中的内容传递方案不足以提供具有低复杂性的安全性的自适应视频服务。在本文中实现不诚实的缔约方(例如,用户和运营商)之间的分散的内容市场,我们提出了基于MEC和区块链的有效视频代码转换和交付方法。在拟议的方法中,我们设想了一系列基于区块链的智能合同,以建立自动内容交付市场,所有参与者都是通过智能合同条款执行的财务强制执行。然后,用户,小型基站(SBSS)和内容提供商(CP)能够根据内容市场统计自主调整其策略。此外,我们制定了优化问题,包括资源分配,确定内容价格和内容的质量水平,作为三级的Stackelberg游戏。我们分析了每个阶段的子纸盘均衡和三级游戏的相互作用。最后,提出了一种迭代算法来获得解决方案。提出了仿真结果表明了所提出的方法的有效性。

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