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» MapReduce: Simplified Data Processing on Large Clusters
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CLOUDCOM
2010
Springer
13 years 5 months ago
Evaluation of MapReduce for Gridding LIDAR Data
-- The MapReduce programming model, introduced by Google, has become popular over the past few years as a mechanism for processing large amounts of data, using sharednothing parall...
Sriram Krishnan, Chaitanya K. Baru, Christopher J....
ICDCS
2011
IEEE
12 years 7 months ago
YSmart: Yet Another SQL-to-MapReduce Translator
— MapReduce has become an effective approach to big data analytics in large cluster systems, where SQL-like queries play important roles to interface between users and systems. H...
Rubao Lee, Tian Luo, Yin Huai, Fusheng Wang, Yongq...
CLOUD
2010
ACM
14 years 22 days ago
Towards automatic optimization of MapReduce programs
Timely and cost-effective processing of large datasets has become a critical ingredient for the success of many academic, government, and industrial organizations. The combination...
Shivnath Babu
PVLDB
2010
167views more  PVLDB 2010»
13 years 6 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
ICDE
2010
IEEE
231views Database» more  ICDE 2010»
14 years 2 months ago
Estimating the progress of MapReduce pipelines
Abstract— In parallel query-processing environments, accurate, time-oriented progress indicators could provide much utility given that inter- and intra-query execution times can ...
Kristi Morton, Abram Friesen, Magdalena Balazinska...