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SIGMOD
2011
ACM
248views Database» more  SIGMOD 2011»
12 years 8 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...
EMNLP
2008
13 years 7 months ago
Scalable Language Processing Algorithms for the Masses: A Case Study in Computing Word Co-occurrence Matrices with MapReduce
This paper explores the challenge of scaling up language processing algorithms to increasingly large datasets. While cluster computing has been available in commercial environment...
Jimmy J. Lin
HPDC
2010
IEEE
13 years 6 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...
CLOUDCOM
2010
Springer
13 years 3 months ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin
HPDC
2010
IEEE
13 years 6 months ago
Massive Semantic Web data compression with MapReduce
The Semantic Web consists of many billions of statements made of terms that are either URIs or literals. Since these terms usually consist of long sequences of characters, an effe...
Jacopo Urbani, Jason Maassen, Henri E. Bal