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Lower Bounds for Total Storage of Multiset Combinatorial Batch Codes using Linear Programming
Conference proceeding

Lower Bounds for Total Storage of Multiset Combinatorial Batch Codes using Linear Programming

Yeow Meng Chee, Han Mao Kiah, Hui Zhang and IEEE
2019 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), Vol.2019-, pp.2364-2368
IEEE International Symposium on Information Theory
01/01/2019

Abstract

Computer Science Computer Science, Information Systems Computer Science, Theory & Methods Science & Technology Technology
The class of multiset combinatorial batch codes (MCBCs) was introduced by Zhang et al. (2018) as a generalization of combinatorial batch codes (CBCs). MCBCs allow multiple users to retrieve items in parallel in a distributed storage system and a fundamental objective in this study is to determine the minimum total storage given certain requirements. We formulate an integer linear programming problem so that its optimal solution provides a lower bound of the total storage of MCBCs. Borrowing techniques from linear programming, we improve known lower bounds in some cases and also, determine the exact values for some parameters.

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