Homomorphic Self-Repairing Codes for Agile Maintenance of Distributed Storage Systems

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Provided by: Cornell University
Topic: Storage
Format: PDF
Distributed data storage systems are essential to deal with the need to store massive volumes of data. In order to make such a system fault-tolerant, some form of redundancy becomes crucial. There are various overheads that are incurred due to such redundancy - most prominent ones being overheads in terms of storage space and maintenance bandwidth requirements. Erasure codes provide a storage efficient alternative to replication based redundancy in storage systems. They however entail high communication overhead for maintenance in a networked setting, when some of the encoded fragments are lost due to failure of storage devices and need to be replenished in new ones.
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