English

On Extremal Rates of Storage over Graphs

Information Theory 2022-10-13 v1 math.IT

Abstract

A storage code over a graph maps KK independent source symbols, each of LwL_w bits, to NN coded symbols, each of LvL_v bits, such that each coded symbol is stored in a node of the graph and each edge of the graph is associated with one source symbol. From a pair of nodes connected by an edge, the source symbol that is associated with the edge can be decoded. The ratio Lw/LvL_w/L_v is called the symbol rate of a storage code and the highest symbol rate is called the capacity. We show that the three highest capacity values of storage codes over graphs are 2,3/2,4/32, 3/2, 4/3. We characterize all graphs over which the storage code capacity is 22 and 3/23/2, and for capacity value of 4/34/3, necessary condition and sufficient condition (that do not match) on the graphs are given.

Keywords

Cite

@article{arxiv.2210.06363,
  title  = {On Extremal Rates of Storage over Graphs},
  author = {Zhou Li and Hua Sun},
  journal= {arXiv preprint arXiv:2210.06363},
  year   = {2022}
}

Comments

28 pages, 11 figures

R2 v1 2026-06-28T03:27:51.200Z