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» MapReduce: Simplified Data Processing on Large Clusters
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CLOUDCOM
2010
Springer
14 years 8 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....
100
Voted
ICDCS
2011
IEEE
13 years 9 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
15 years 3 months 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
99
Voted
PVLDB
2010
167views more  PVLDB 2010»
14 years 8 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
72
Voted
ICDE
2010
IEEE
231views Database» more  ICDE 2010»
15 years 5 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...