Content Collaborative Caching Strategy in the Edge Maintenance of Communication Network: A Joint Download Delay and Energy Consumption Method

Rui, Lanlan; Song, Dai; Chen, Shiyou; Yang, Yingtai; Yang, Yang; Gao, Zhipeng

doi:10.1109/tpds.2022.3179271

Cited by 5 publications

(1 citation statement)

References 31 publications

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“…Lastly, privacy can be infringed by user devices during video transmission [28], distribution [27] and cache including D2D cache [29] and proactive client cache [6]. Both user devices and edge devices can be leveraged to cache video content to improve user QoE.…”

Section: Privacy Leakage In Online Video Servicesmentioning

confidence: 99%

A Privacy-aware Stackelberg Game Approach for Joint Pricing, Investment, Computation Offloading and Resource Allocation in MEC-enabled Smart Cities

Huang

Peng

Liu

2021

2021 IEEE International Conference on Web Services (ICWS)

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As users conveniently stream their favored online videos, video request records will be automatically seized by video content providers, which may leak users' privacy. Unfortunately, most existing privacy-enhancing approaches are not applicable for protecting users' privacy in requests, which cannot be easily altered or distorted by users and must be visible for content providers to stream correct videos. To preserve request privacy in online video services, it is possible to request additional videos irrelevant to users' interest so that content providers cannot precisely infer users' interest information. However, a naive redundant requesting approach will significantly degrade the performance of edge caches and increase bandwidth overhead accordingly. In this paper, we are among the first to propose a Cache-Friendly Redundant Video Requesting (cRVR) algorithm for User Devices (UDs) and its corresponding caching algorithm for the Edge Cache (EC), which can effectively mitigate the problem of request privacy leakage with minimal impact on the EC's performance. To solve the problem, we develop a Stackelberg game to analyze the dedicated interaction between UDs and EC, and obtain their optimal strategies to maximize their respective utility. For UDs, the utility function is a combination of both video playback utility and privacy protection utility. We theoretically prove the existence and uniqueness of the equilibrium of the Stackelberg game. In the end, extensive experiments are conducted with real traces to demonstrate that cRVR can effectively protect video request privacy by reducing up to 57.96% of privacy disclosure compared to baseline algorithms. Meanwhile, the caching performance of ECs is only slightly affected.

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