Abstract
In recent years, the number of smart devices has exploded, leading to an unprecedented increase in demand for video live and video-on-demand (VoD) services. Also, the privacy of video providers and requesters and the security of requested video data are much more threatened. In order to solve these issues, in this paper, a blockchain-enabled CMEC video transmission model (Bl-CMEC) for intelligent video caching and transcoding will be proposed to ensure the transactions’ transparency, system security, user information privacy, and integrity of the video data, enhance the ability of severs in actively caching popular video content in the CMEC system, and realize transcoding function at network edge nodes. Furthermore, we chose a scheme based on deep reinforcement learning (DRL) to intelligently access the intracluster joint caching and transcoding decisions. Then, the joint video caching and transcoding decision smart contract is specially designed to automatically manage the transaction process of the joint caching and transcoding service, which records key information of joint caching and transcoding transactions and payment information on a continuous blockchain. The simulation results demonstrate that the proposed Bl-CMEC framework not only can provide users with better QoE performance for video streaming service but also can ensure the security, integrity, and consistency for the video providers, video requesters, and video data.
Highlights
People are becoming more and more dependent on network services, especially during the period of COVID-19 pandemic, many activities and works are carried out on the network
Based on the above experimental results, we can find that the Bl-Clustered Mobile Edge Computing (CMEC) method we proposed has better robustness to the Internet environment
We firstly proposed a blockchain-enabled CMEC-based video transmission system model (Bl-CMEC) that could ensure the transactions’ transparency, system security, user information privacy, and integrity of the video data, enhance the ability of severs in actively caching popular video content in the CMEC system, and realize transcoding function at network edge nodes
Summary
People are becoming more and more dependent on network services, especially during the period of COVID-19 pandemic, many activities and works are carried out on the network. E influencing factors of video transcoding and caching decisions include video content popularity, user demand and distribution, the capabilities of each edge node, and bandwidth resources between nodes Because of this issue, adaptive bitrate streaming (ABR) [8] has been widely proposed to improve the QoE of video data which serve for smart device users in the Internet. The smart contract can check the integrity of results returned from the network edge node to achieve adaptive video transmission optimization and make security protection of video data in a blockchain-enabled CMEC-based environment. (iii) Intelligent scheme design: it can intelligently obtain and implement the decision of allocating the caching and computing resources at the network edge node in one cluster It has two sections, namely, DQN-Based Video Caching and Transcoding Algorithm (DQN-VCT) (section 1) and Implementation of Video Caching and Transcoding Decision Smart Contract (section 2).
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