Kernels for storage capacity and dual index coding

The storage capacity of a graph measures the maximum amount of information that can be stored across its vertices, such that the information at any vertex can be recovered from the information stored at its neighborhood. The study of this graph quantity is motivated by applications in distributed st...

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Bibliographic Details
Published in:Journal of combinatorial theory. Series A Vol. 216; p. 106059
Main Author: Haviv, Ishay
Format: Journal Article
Language:English
Published: Elsevier Inc 01.11.2025
Subjects:
Index coding
Kernelization
Minrank
Parameterized complexity
Storage capacity
Index coding
Storage capacity
Minrank
Parameterized complexity
Kernelization
ISSN:0097-3165
Online Access:Get full text
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Summary:The storage capacity of a graph measures the maximum amount of information that can be stored across its vertices, such that the information at any vertex can be recovered from the information stored at its neighborhood. The study of this graph quantity is motivated by applications in distributed storage and by its intimate relations to the index coding problem from the area of network information theory. In the latter, one wishes to minimize the amount of information that has to be transmitted to a collection of receivers, in a way that enables each of them to discover its required data using some prior side information. In this paper, we initiate the study of the ▪ and ▪ problems from the perspective of parameterized complexity. We prove that the ▪ problem parameterized by the solution size admits a kernelization algorithm producing kernels of linear size. We also provide such a result for the ▪ problem, in the linear and non-linear settings, where it is parameterized by the dual value of the solution, i.e., the length of the transmission that can be saved using the side information. A key ingredient in the proofs is the crown decomposition technique due to Chor, Fellows, and Juedes [14,11]. As an application, we significantly extend an algorithmic result of Dau, Skachek, and Chee [13].
ISSN:0097-3165
DOI:10.1016/j.jcta.2025.106059