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Distributed Storage Layout Schemes

Authors: Peter Sobe;

Distributed Storage Layout Schemes

Abstract

When distributing data across several nodes, two different approaches exist. The first one consists in distribution of the data object itself e.g. in striping. The second approach is aggregation of local storages, whereby each data object is assigned to a home storage node. From the viewpoint of fault-tolerant data layouts, these schemes seem to be similar. In both cases the addition of parity, e.g. RAID level 3, level 5 or Reed-Solomon codes provide tolerance against node failures. A closer look shows differences in reachable access rates, needed number of messages and recovery cost. In this paper we compare both approaches and provide a method for self-reconfiguration. The transformation from a parity grouping layout to a striping layout is shown to be feasible for stepwise and concurrent operation during data access.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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