Capacity-Achieving Private Information Retrieval Schemes from Uncoded Storage Constrained Servers with Low Sub-packetization
Jinbao Zhu, Qifa Yan, Xiaohu Tang, and Ying Miao

TL;DR
This paper develops capacity-achieving private information retrieval schemes with reduced sub-packetization for uncoded storage systems, introducing new array structures and optimizing packet sizes to improve efficiency and practicality.
Contribution
It characterizes optimal sub-packetization for capacity-achieving schemes, introduces Storage Design Arrays, and proposes methods for both equal and unequal packet sizes to minimize sub-packetization.
Findings
Optimal sub-packetization is rac{N(M-1)}{\u00gcd(N,M)} for equal-sized packets.
A greedy SDA construction bounds sub-packetization by rac{N(M-1)}{\u00gcd(N,M)}.
Sub-packetization is optimal when rac{ ext{min}igrace M,N-Migrace}{\u00gcd(N,M)} divides N or when M=N.
Abstract
This paper investigates reducing sub-packetization of capacity-achieving schemes for uncoded Storage Constrained Private Information Retrieval (SC-PIR) systems. In the SC-PIR system, a user aims to retrieve one out of files from servers while revealing nothing about its identity to any individual server, in which the files are stored at the servers in an uncoded form and each server can store up to equivalent files, where is the normalized storage capacity of each server. We first prove that there exists a capacity-achieving SC-PIR scheme for a given storage design if and only if all the packets are stored exactly at servers for such that . Then, the optimal sub-packetization for capacity-achieving linear SC-PIR schemes is characterized as the solution to an optimization problem, which is typically hard…
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Taxonomy
TopicsCaching and Content Delivery · Cryptography and Data Security · Advanced Data Storage Technologies
