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Open AccessJournal ArticleDOI

Optimal Device-Aware Caching

TLDR
This work designs provably optimal policies for jointly minimizing the content retrieval delay and the flash damage and numerically compares them against prior policies.
Abstract
Caches in Content-Centric Networks (CCN) are increasingly adopting flash memory based storage. The current flash cache technology stores all files with the largest possible “expiry date,” i.e., the files are written in the memory so that they are retained for as long as possible. This, however, does not leverage the CCN data characteristics where content is typically short-lived and has a distinct popularity profile. Writing files in a cache using the longest retention time damages the memory device thus reducing its lifetime. However, writing using a small retention time can increase the content retrieval delay, since, at the time a file is requested, the file may already have been expired from the memory. This motivates us to consider a joint optimization wherein we obtain optimal policies for jointly minimizing the content retrieval delay (which is a network-centric objective) and the flash damage (which is a device-centric objective). Caching decisions now not only involve what to cache but also for how long to cache each file. We design provably optimal policies and numerically compare them against prior policies.

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Citations
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Proceedings ArticleDOI

Practical Bounds on Optimal Caching with Variable Object Sizes

TL;DR: This analysis shows that current caching systems are in fact still far from optimal, suffering 11-43% more cache misses than OPT, whereas the best prior offline bounds suggest that there is essentially no room for improvement.
Journal ArticleDOI

Practical Bounds on Optimal Caching with Variable Object Sizes

TL;DR: This analysis shows that current caching systems are in fact still far from optimal, suffering 11--43% more cache misses than OPT, whereas the best prior offline bounds suggest that there is essentially no room for improvement.
Proceedings ArticleDOI

Hold'em Caching: Proactive Retention-Aware Caching with Multi-path Routing for Wireless Edge Networks

TL;DR: This work forms the problem of Proactive Retention Routing Optimization as a non-convex, non-linear mixed-integer program, and proves that it is NP-hard under both multicast/unicast modes and develops greedy algorithms that have provable performance bounds for the case of uncapacitated caches.
Journal ArticleDOI

The Design of Dynamic Probabilistic Caching with Time-Varying Content Popularity

TL;DR: In this article, the authors proposed a dynamic probabilistic caching for the scenario when the instantaneous content popularity may vary with time while it is possible to predict the average content popularity over a time window.
Proceedings ArticleDOI

Proactive retention aware caching

TL;DR: It is proved that PRAC is NP-Hard in general and it is shown thatPRAC admits efficient polynomial time algorithms when the storage cost is linear in retention times and caches have a large capacity.
References
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Cache in the air: exploiting content caching and delivery techniques for 5G systems

TL;DR: A novel edge caching scheme based on the concept of content-centric networking or information-centric networks is proposed and evaluated, using trace-driven simulations to evaluate the performance of the proposed scheme and validate the various advantages of the utilization of caching content in 5G mobile networks.
Journal ArticleDOI

Seven ways that HetNets are a cellular paradigm shift

TL;DR: The most important shifts in cellular technology in 10-20 years are distilled down to seven key factors, with the implications described and new models and techniques proposed for some, while others are ripe areas for future exploration.
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