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DFTS

a novel distributed high fault-tolerance storage mechanism
Authors: Qingsong Wei; Xianliang Lu; Xu Zhou;
Abstract

Computerized data is becoming critical to the survival of an enterprise. RAID is a popular mechanism to offer fault-tolerance storage. But RAID can not work when two more disks fail and the distance it can reach is very limited. This paper presents a novel distributed high fault-tolerance storage mechanism called DFTS. DFTS makes use of disk space of the node in distributed network to build a public storage space which users can access like local disk. File is stored in form of original file fragments and their mutual XOR verification fragments among the nodes of the network. File is available even when a part of nodes fail. DFTS realizes long-distance fault-tolerance storage. In addition, performance of the DFTS is more than an order of magnitude higher than that of single computer. The experiments in this paper show that DFTS can offer high fault-tolerance and advanced performance.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
3
Average
Top 10%
Average
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