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تجزیه و تحلیل کیفیت و تازگی اطلاعات در ذخیره سازی موقت محتوای ویدیویی
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تجزیه و تحلیل کیفیت و تازگی اطلاعات در ذخیره سازی موقت محتوای ویدیویی

محمد رضا، غلامی Gholami, Mohammad Reza

Analysis of Quality and information Freshness in Video Caching

Gholami, Mohammad Reza | 2026

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 58872 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Ashtiani, Farid
  7. Abstract:
  8. The rapid growth of Internet-connected devices and the increasing demand for high-quality video content have imposed significant challenges on wireless networks, particularly in terms of bandwidth limitations and maintaining service quality. One major challenge is the heavy load on backhaul links, which can lead to increased delay and degraded user experience. Edge caching, by storing frequently requested content close to users, can reduce the need for repeated access to the core network and improve access latency. Previous studies have mainly focused on popularity-based caching, while the important aspect of information freshness has received less attention. Content popularity varies over time, and items are added to or removed from the cache accordingly. However, storing content for long periods without updating may lead to outdated information. To characterize this aspect, the concept of Age of Information, defined as the time elapsed since the last update, is used. An efficient caching strategy must maintain freshness while ensuring acceptable access delay. Freshness is particularly important in applications such as real-time video, news services, and traffic information. Moreover, video data possess characteristics such as resolution and frame rate, and are often transmitted in multiple quality layers. In scalable video coding, the combination of layers determines the final video quality and influences both network load and content freshness. In this thesis, considering the multi-layer structure of video and the importance of freshness, we analyze edge video caching with explicit modeling of update dynamics. We develop a queueing-based analytical model in which both the refresh queue and the downlink (user-service) queue are modeled simultaneously. Using this model, performance metrics such as average delay and Age of Information are derived for several caching policies, and the interactions among quality, freshness, and delay are examined
  9. Keywords:
  10. Information Age ; Cache Memory ; Information freshness ; Scalable Video Coding ; Video Caching

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