移动边缘计算中主动保留感知在线视频缓存方案

IF 4.3 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Guangzhou Liu, Zhen Qian, Guanghui Li
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引用次数: 0

摘要

目前大量的视频请求已经造成了严重的网络拥塞。为了减少传输延迟和提高用户体验质量(QoE),缓存基础设施部署在更靠近边缘的地方。目前,大多数缓存系统都倾向于用高编程电压来缓存内容,以保证较长的保留时间,这导致了严重的缓存损坏。然而,随着每秒都有新的视频出现,快速变化的流行度使得长时间的保留时间在缓存资源方面浪费了。此外,随着新兴视频格式(如虚拟现实内容)的兴起,各种视频类别对传输延迟的不同要求使得平衡用户QoE更具挑战性。为了解决这些挑战,我们提出了一个联合优化框架,通过视频类别识别和自适应保留时间选择来平衡用户QoE和运营成本。首先,我们将用户QoE建模为传输延迟成本,并进一步将优化问题表述为马尔可夫决策过程(MDP),以最小化系统成本。为了解决上述问题,我们设计了一种基于两步双深度q网络(DDQN)的方案。该方案首先通过统一行动选择和状态价值评估过程来确定最优保留时间。其次,根据计算出的每个内容的缓存值做出替换决策。通过在三个数据集上的验证,实验表明该方案在缓存命中率和系统开销方面都优于基准算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proactive retention-aware online video caching scheme in mobile edge computing
The current massive video requests have caused severe network congestion. To reduce transmission latency and improve user Quality of Experience (QoE), caching infrastructures are deployed closer to the edge. Nowadays, most caching systems tend to cache content with a high programming voltage to ensure a long retention time, which leads to significant cache damage. However, as new videos emerge every second, the rapidly changing popularity makes long retention time wasteful in terms of caching resource. Moreover, with the rise of emerging video formats (such as virtual reality content), the diverse requirements for transmission latency across various video categories make balancing user QoE more challenging. To tackle these challenges, we propose a joint optimization framework that balances user QoE and operational costs through video category recognition and adaptive retention time selection. First, we model user QoE as transmission latency cost and further formulate the optimization problem as a Markov Decision Process (MDP) to minimize the system cost. To solve the proposed problem, we design a two-step Double Deep Q-Network (DDQN)-based scheme. The scheme first determines the optimal retention time through unifying the process of action selection and state-value evaluation. Secondly, it makes replacement decisions according to the computed caching value of each content. By validating on three datasets, the experiments show that the proposed scheme outperforms the baseline algorithms in both cache hit rate and system cost.
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来源期刊
Computer Communications
Computer Communications 工程技术-电信学
CiteScore
14.10
自引率
5.00%
发文量
397
审稿时长
66 days
期刊介绍: Computer and Communications networks are key infrastructures of the information society with high socio-economic value as they contribute to the correct operations of many critical services (from healthcare to finance and transportation). Internet is the core of today''s computer-communication infrastructures. This has transformed the Internet, from a robust network for data transfer between computers, to a global, content-rich, communication and information system where contents are increasingly generated by the users, and distributed according to human social relations. Next-generation network technologies, architectures and protocols are therefore required to overcome the limitations of the legacy Internet and add new capabilities and services. The future Internet should be ubiquitous, secure, resilient, and closer to human communication paradigms. Computer Communications is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and survey papers covering all aspects of future computer communication networks (on all layers, except the physical layer), with a special attention to the evolution of the Internet architecture, protocols, services, and applications.
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