English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

For a network with one sender, $n$ receivers (users) and $m$ possiblemessages (files), caching side information at the users allows to satisfyarbitrary simultaneous demands by sending a common (multicast) coded message.In the worst-case demand setting, explicit deterministic and random cachingstrategies and explicit linear coding schemes have been shown to be orderoptimal. In this work, we consider the same scenario where the user demands arerandom i.i.d., according to a Zipf popularity distribution. In this case, wepose the problem in terms of the minimum average number of equivalent messagetransmissions. We present a novel decentralized random caching placement and acoded delivery scheme which are shown to achieve order-optimal performance. Asa matter of fact, this is the first order-optimal result for the caching andcoded multicasting problem in the case of random demands.

On the Average Performance of Caching and Coded Multicasting with Random Demands