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Optimal content caching heavily depends on two main factors, namely the number of requests for the contents and the delivery deadlines of such requests. The number of requests for a content, referred to as the popularity of a content, may vary over time.
Jan 12, 2020
Jan 1, 2020 · In this paper, we consider content caching along time in a base station with limited cache capacity. As the popularity of contents may vary over ...
Mar 23, 2020 · We investigate joint impact of deadline constraint and cache updates in content caching and show how much gain can be achieved. As another ...
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Sep 5, 2024 · We address, optimal scheduling of cache updates for a time-slotted system accounting for content recommendation and AoI. For each content, there ...
In this study, we address optimal scheduling for updating the cache for a time-slotted system where content recommendation and AoI are jointly accounted for.
Optimal Scheduling of Content Caching Subject to Deadline. Article. Full-text available. Mar 2020. Ghafour Ahani · Di Yuan. Content caching at the ...
Content caching at the network edge is an effective way of mitigating backhaul load and improving user experience. Caching efficiency can be enhanced by ...
This paper focuses on content caching in multi-cell MEC systems. In each cell, the local cache server downloads contents from the remote cloud server via a ...
We address optimal scheduling of cache updates for a time-slotted system where the contents vary in size. There is limited capacity for the cache and for making ...
Jun 28, 2024 · In this paper, we develop optimization algorithms for cache partitioning that, besides ensuring schedulability, also minimize cache usage.
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