Abstract
We consider a network consisting of a file server connected through a shared link to a number of users, each equipped with a cache. Knowing the popularity distribution of the files, the goal is to optimally populate the caches, such as to minimize the expected load of the shared link. For a single cache, it is well known that storing the most popular files is optimal in this setting. However, we show here that this is no longer the case for multiple caches. Indeed, caching only the most popular files can be highly suboptimal. Instead, a fundamentally different approach is needed, in which the cache contents are used as side information for coded communication over the shared link. We propose such a coded caching scheme and prove that it is close to optimal.
Original language | English (US) |
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Article number | 7782760 |
Pages (from-to) | 1146-1158 |
Number of pages | 13 |
Journal | IEEE Transactions on Information Theory |
Volume | 63 |
Issue number | 2 |
DOIs | |
State | Published - Feb 2017 |
Externally published | Yes |
Bibliographical note
Funding Information:U. Niesen was supported by AFOSR under Grant FA9550-09-1-0317.
Publisher Copyright:
© 2016 IEEE.
Keywords
- Caching
- coding
- content distribution
- prefetching