GDSP: A graphical perspective on the distributed storage systems

The classical distributed storage problem can be modeled by a k-uniform complete hyper-graph where vertices represent servers and hyper-edges represent users. Hence each hyper-edge should be able to recover the full file using only the memories of the vertices associated with it. This paper considers the generalization of this problem to arbitrary hyper-graphs and to the case of multiple files, where each user is only interested in one, a problem we will refer to as the graphical distributed storage problem (GDSP). Specifically, we make progress in the analysis of minimum-storage codes for two main subproblems of the GDSP which extend the classical model in two independent directions: the case of an arbitrary graph with multiple files, and the case of an arbitrary hyper-graph with a single file.

Published in:
Proceedings of the 2017 IEEE International Symposium on Information Theory
Presented at:
2017 IEEE International Symposium on Information Theory, Aachen, Germany, June 25-30, 2017

 Record created 2017-08-18, last modified 2018-09-13

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