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Data storage has grown such that distributed storage over a number
of systems is now commonplace. This has given rise to an increase
in the complexity of ensuring data loss does not occur,
particularly where failure is due to the failure of individual
nodes within the storage system. Redundancy was the main tool to
combat this, but with huge increases in data, minimization of the
overhead associated with this technique caused major concern. In a
large data center, a third concern arose, namely the need for
efficient recovery from the failure of a single storage unit.In
this monograph, the authors give a comprehensive overview of the
role of differing types of codes in addressing the issues in large
distributed storage systems. They introduce the reader to
regenerative codes, locally recoverable codes and locally
regenerative codes; the three main classes of codes used in such
systems. They give an exhaustive overview of how these codes were
created, their uses and the developments and improvements of the
codes in the last decade.This in-depth review gives the reader an
accessible and complete overview of the modern codes used in
distributed storage systems today. It is a one-stop source for
students, researchers and practitioners working on any such system.
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