# Centralized Caching with Unequal Cache Sizes

**Authors:** Behzad Asadi, Lawrence Ong, and Sarah J. Johnson

arXiv: 1803.06807 · 2018-05-16

## TL;DR

This paper proposes a new centralized caching scheme for systems with users having unequal cache sizes, achieving lower worst-case load than existing explicit schemes and close to optimal performance.

## Contribution

It introduces an explicit caching scheme tailored for unequal cache sizes, improving load efficiency over prior explicit methods.

## Key findings

- Lower worst-case load compared to existing explicit schemes
- Performance within a factor of 1.11 of the optimal scheme
- Effective for systems with heterogeneous cache sizes

## Abstract

We address a centralized caching problem with unequal cache sizes. We consider a system with a server of files connected through a shared error-free link to a group of cache-enabled users where one subgroup has a larger cache size than the other. We propose an explicit caching scheme for the considered system aimed at minimizing the load of worst-case demands over the shared link. As suggested by numerical evaluations, our scheme improves upon the best existing explicit scheme by having a lower worst-case load; also, our scheme performs within a multiplicative factor of 1.11 from the scheme that can be obtained by solving an optimisation problem in which the number of parameters grows exponentially with the number of users.

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/1803.06807/full.md

## References

13 references — full list in the complete paper: https://tomesphere.com/paper/1803.06807/full.md

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Source: https://tomesphere.com/paper/1803.06807