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CORR
2011
Springer
259views Education» more  CORR 2011»
12 years 11 months ago
Automatic Optimization for MapReduce Programs
The MapReduce distributed programming framework has become popular, despite evidence that current implementations are inefficient, requiring far more hardware than a traditional r...
Eaman Jahani, Michael J. Cafarella, Christopher R&...
CLOUD
2010
ACM
13 years 9 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
IISWC
2009
IEEE
13 years 11 months ago
Phoenix rebirth: Scalable MapReduce on a large-scale shared-memory system
Abstract—Dynamic runtimes can simplify parallel programming by automatically managing concurrency and locality without further burdening the programmer. Nevertheless, implementin...
Richard M. Yoo, Anthony Romano, Christos Kozyrakis
CORR
2010
Springer
205views Education» more  CORR 2010»
13 years 4 months ago
Behavioral Simulations in MapReduce
In many scientific domains, researchers are turning to large-scale behavioral simulations to better understand real-world phenomena. While there has been a great deal of work on s...
Guozhang Wang, Marcos Antonio Vaz Salles, Benjamin...
SIGMETRICS
2009
ACM
151views Hardware» more  SIGMETRICS 2009»
13 years 11 months ago
MapReduce optimization using regulated dynamic prioritization
We present a system for allocating resources in shared data and compute clusters that improves MapReduce job scheduling in three ways. First, the system uses regulated and user-as...
Thomas Sandholm, Kevin Lai