The advent of Big Data analytics and cloud computing has resulted
in an unprecedented increase in the demand for distributed data
storage demand. Companies are constantly on the lookout for ways of
reducing this cost and improving reliability. Erasure coding has
emerged as a promising technique to achieve these goals and most
major tech companies have adopted it. However, one major issue in
such systems is the characterization and optimization of access
latency when data objects are erasure coded in distributed storage.
In this monograph, the authors provide a review of recent
theoretical and practical progress on systems that employ erasure
codes for distributed storage. Starting with an overview the key
challenges and research problems, the authors give an overview of
different models and approaches that have been developed to
quantify latency of erasure-coded storage. They also extend the
discussions to video streaming from erasure-coded distributed
storage systems. Practical implementations of erasure-coded storage
are then discussed in real-world storage systems such as in content
delivery and caching. This monograph is aimed at students,
researchers and practitioners in information theory active in the
research and development of modern day distributed storage systems.
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