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2015 IEEE International Conference on Cluster Computing (CLUSTER) (2015)
Chicago, IL, USA
Sept. 8, 2015 to Sept. 11, 2015
ISBN: 978-1-4673-6598-7
pp: 162-165
Data entanglement is a novel approach to generate and propagate redundancy across multiple disk nodes in a fault-tolerant data store. In this paper, we analyse and evaluate helical entanglement codes (HEC), an XOR-based erasure coding algorithm that constructs long sequences of entangled data using incoming data and stored parities. The robust topology guarantees low complexity and a greater resilience to failures than previous codes mentioned in the literature, however, the code pattern requires a minimum fixed amount of storage overhead. A unique characteristic of HEC is that fault tolerance depends on the number of distinct helical strands (p), a parameter that could be changed on the fly and does not add significantly more storage. A p-HEC setting can tolerate arbitrary 5+p failures. Decoding has a low reconstruction cost and good locality. Besides, a deep repair mechanism exploits the available global parities. We perform experiments to compare the repairability of HEC with other codes and present analytical results of its reliability.
Maintenance engineering, Fault tolerant systems, Redundancy, Encoding, Lattices

V. E. Galinanes and P. Felber, "Ensuring Data Durability with Increasingly Interdependent Content," 2015 IEEE International Conference on Cluster Computing (CLUSTER), Chicago, IL, USA, 2015, pp. 162-165.
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