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OSDI
2004
ACM
14 years 9 months ago
MapReduce: Simplified Data Processing on Large Clusters
MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to ge...
Jeffrey Dean, Sanjay Ghemawat
OSDI
2008
ACM
14 years 9 months ago
Improving MapReduce Performance in Heterogeneous Environments
MapReduce is emerging as an important programming model for large-scale data-parallel applications such as web indexing, data mining, and scientific simulation. Hadoop is an open-...
Matei Zaharia, Andy Konwinski, Anthony D. Joseph, ...
DSN
2002
IEEE
14 years 1 months ago
Performance Analysis of a Consensus Algorithm Combining Stochastic Activity Networks and Measurements
Protocols which solve agreement problems are essential building blocks for fault tolerant distributed applications. While many protocols have been published, little has been done ...
Andrea Coccoli, Péter Urbán, Andrea ...
MM
2006
ACM
130views Multimedia» more  MM 2006»
14 years 2 months ago
An unsupervised method for clustering images based on their salient regions of interest
We have developed a biologically-motivated, unsupervised way of grouping together images whose salient regions of interest (ROIs) are perceptually similar regardless of the visual...
Gustavo B. Borba, Humberto R. Gamba, Oge Marques, ...
JPDC
2008
92views more  JPDC 2008»
13 years 9 months ago
Techniques for pipelined broadcast on ethernet switched clusters
By splitting a large broadcast message into segments and broadcasting the segments in a pipelined fashion, pipelined broadcast can achieve high performance in many systems. In thi...
Pitch Patarasuk, Xin Yuan, Ahmad Faraj