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» The Performance of MapReduce: An In-depth Study
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PVLDB
2010
167views more  PVLDB 2010»
13 years 2 months ago
The Performance of MapReduce: An In-depth Study
MapReduce has been widely used for large-scale data analysis in the Cloud. The system is well recognized for its elastic scalability and fine-grained fault tolerance although its...
Dawei Jiang, Beng Chin Ooi, Lei Shi, Sai Wu
CVPR
2004
IEEE
14 years 6 months ago
From Fragments to Salient Closed Boundaries: An In-Depth Study
This paper conducts an in-depth study on a classical perceptual-organization problem: finding salient closed boundaries from a set of boundary fragments detected in a noisy image....
Song Wang, Jun Wang, Toshiro Kubota
FLAIRS
2004
13 years 6 months ago
In-Depth Analysis of Similarity Knowledge and Metric Contributions to Recommender Performance
Initial successes in the area of recommender systems have led to considerable early optimism. However as a research community, we are still in the early days of our understanding ...
Derry O'Sullivan, Barry Smyth, David C. Wilson
SIGMOD
2011
ACM
248views Database» more  SIGMOD 2011»
12 years 7 months ago
Llama: leveraging columnar storage for scalable join processing in the MapReduce framework
To achieve high reliability and scalability, most large-scale data warehouse systems have adopted the cluster-based architecture. In this paper, we propose the design of a new clu...
Yuting Lin, Divyakant Agrawal, Chun Chen, Beng Chi...
KBSE
2010
IEEE
13 years 2 months ago
An experience report on scaling tools for mining software repositories using MapReduce
The need for automated software engineering tools and techniques continues to grow as the size and complexity of studied systems and analysis techniques increase. Software enginee...
Weiyi Shang, Bram Adams, Ahmed E. Hassan