Ephemeral Materialization Points in Stratosphere Data Management on the Cloud

CLOUD COMPUTING AND BIG DATA, pp. 163-181, 2012.

Cited by: 4|Bibtex|Views8|DOI:https://doi.org/10.3233/978-1-61499-322-3-163
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Data streaming frameworks like stratosphere[1] are designed to work in the cloud on a large number of parallel working nodes. The increase of nodes together with the expected long run-time of data processing tasks causes an increase of failure probability. Therefore fault tolerance becomes an important issue in these systems. Existing fau...More

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