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» MapReduce: Simplified Data Processing on Large Clusters
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EUROPAR
2009
Springer
14 years 9 hour ago
MapReduce Programming Model for .NET-Based Cloud Computing
Recently many large scale computer systems are built in order to meet the high storage and processing demands of compute and data-intensive applications. MapReduce is one of the mo...
Chao Jin, Rajkumar Buyya
SIGMOD
2011
ACM
210views Database» more  SIGMOD 2011»
12 years 8 months ago
A platform for scalable one-pass analytics using MapReduce
Today’s one-pass analytics applications tend to be data-intensive in nature and require the ability to process high volumes of data efficiently. MapReduce is a popular programm...
Boduo Li, Edward Mazur, Yanlei Diao, Andrew McGreg...
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
IPPS
2010
IEEE
13 years 3 months ago
Large scale complex network analysis using the hybrid combination of a MapReduce cluster and a highly multithreaded system
Complex networks capture interactions among entities in various application areas in a graph representation. Analyzing large scale complex networks often answers important question...
Seunghwa Kang, David A. Bader
EMNLP
2008
13 years 6 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