Abstract

Batch codes, introduced by Ishai et al., encode a string $x \in \Sigma^{k}$ into an $m$-tuple of strings, called buckets. In this paper we consider multiset batch codes wherein a set of $t$-users wish to access one bit of information each from the original string. We introduce a concept of optimal batch codes. We first show that binary Hamming codes are optimal batch codes. The main body of this work provides batch properties of Reed-Muller codes. We look at locality and availability properties of first order Reed-Muller codes over any finite field. We then show that binary first order Reed-Muller codes are optimal batch codes when the number of users is 4 and generalize our study to the family of binary Reed-Muller codes which have order less than half their length.

Highlights

  • Consider the situation where a certain amount of data, such as information to be downloaded, is distributed over a number of devices

  • We show that binary first order Reed-Muller codes are optimal batch codes when the number of users is 4 and generalize our study to the family of binary Reed-Muller codes which have order less than half their length

  • We show that binary Hamming codes are optimal linear batch codes

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Summary

Introduction

Consider the situation where a certain amount of data, such as information to be downloaded, is distributed over a number of devices. In this paper we seek to minimize the number of devices in the system and the load on each device while maximizing the amount of reconstructed data. We study the batch properties of binary Hamming codes and Reed-Muller codes.

Background
Hamming codes
Reed-Muller codes
G1 0 G2
Conclusion
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