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SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
14 years 8 months ago
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
OSDI
2008
ACM
13 years 10 months ago
DryadLINQ: A System for General-Purpose Distributed Data-Parallel Computing Using a High-Level Language
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments su...
Yuan Yu, Michael Isard, Dennis Fetterly, Mihai Bud...
TC
2010
13 years 2 months ago
Scheduling Concurrent Bag-of-Tasks Applications on Heterogeneous Platforms
Abstract-- Scheduling problems are already difficult on traditional parallel machines, and they become extremely challenging on heterogeneous clusters. In this paper we deal with t...
Anne Benoit, Loris Marchal, Jean-Francois Pineau, ...
CLUSTER
2003
IEEE
14 years 1 months ago
Improving Performance of a Dynamic Load Balancing System by Using Number of Effective Tasks
Efficient resource usage is a key to achieving better performance in cluster systems. Previously, most research in this area has focused on balancing the load of each node to use...
Min Choi, Jung-Lok Yu, Hojoong Kim, Seung Ryoul Ma...
JPDC
2006
92views more  JPDC 2006»
13 years 8 months ago
Task assignment in heterogeneous computing systems
The problem of task assignment in heterogeneous computing systems has been studied for many years with many variations. We consider the version in which communicating tasks are to...
Bora Uçar, Cevdet Aykanat, Kamer Kaya, Mura...