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PVLDB
2011
13 years 2 months ago
Social Content Matching in MapReduce
Matching problems are ubiquitous. They occur in economic markets, labor markets, internet advertising, and elsewhere. In this paper we focus on an application of matching for soci...
Gianmarco De Francisci Morales, Aristides Gionis, ...
HPDC
2010
IEEE
13 years 8 months ago
MOON: MapReduce On Opportunistic eNvironments
MapReduce offers a flexible programming model for processing and generating large data sets on dedicated resources, where only a small fraction of such resources are every unavaila...
Heshan Lin, Xiaosong Ma, Jeremy S. Archuleta, Wu-c...
SEMWEB
2009
Springer
14 years 2 months ago
Scalable Distributed Reasoning Using MapReduce
We address the problem of scalable distributed reasoning, proposing a technique for materialising the closure of an RDF graph based on MapReduce. We have implemented our approach o...
Jacopo Urbani, Spyros Kotoulas, Eyal Oren, Frank v...
ICDE
2011
IEEE
265views Database» more  ICDE 2011»
12 years 11 months ago
RAFTing MapReduce: Fast recovery on the RAFT
MapReduce is a computing paradigm that has gained a lot of popularity as it allows non-expert users to easily run complex analytical tasks at very large-scale. At such scale, task...
Jorge-Arnulfo Quiané-Ruiz, Christoph Pinkel...
IISWC
2009
IEEE
14 years 2 months ago
Phoenix rebirth: Scalable MapReduce on a large-scale shared-memory system
Abstract—Dynamic runtimes can simplify parallel programming by automatically managing concurrency and locality without further burdening the programmer. Nevertheless, implementin...
Richard M. Yoo, Anthony Romano, Christos Kozyrakis