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» Mapping Heterogeneous Distributed Applications on Clusters
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EUROPAR
2008
Springer
13 years 7 months ago
Mapping Heterogeneous Distributed Applications on Clusters
Performance of distributed applications largely depends on the mapping of their components on the underlying architecture. On one mponent-based approaches provide an abstraction su...
Sylvain Jubertie, Emmanuel Melin, Jér&eacut...
IPPS
2010
IEEE
13 years 3 months ago
Improving MapReduce performance through data placement in heterogeneous Hadoop clusters
MapReduce has become an important distributed processing model for large-scale data-intensive applications like data mining and web indexing. Hadoop
Jiong Xie, Shu Yin, Xiaojun Ruan, Zhiyang Ding, Yu...
PDPTA
2007
13 years 6 months ago
Multiple Networks for Heterogeneous Distributed Applications
Abstract - We have experienced in our distributed applications that the network is the main limiting factor for performances on clusters. Indeed clusters are cheap and it is easier...
Sylvain Jubertie, Emmanuel Melin
ICPP
2009
IEEE
14 years 3 hour ago
Speeding Up Distributed MapReduce Applications Using Hardware Accelerators
—In an attempt to increase the performance/cost ratio, large compute clusters are becoming heterogeneous at multiple levels: from asymmetric processors, to different system archi...
Yolanda Becerra, Vicenç Beltran, David Carr...
NPC
2007
Springer
13 years 11 months ago
Performance Prediction for Mappings of Distributed Applications on PC Clusters
Abstract. Distributed applications running on clusters may be composed of several components with very different performance requirements. The FlowVR middleware allows the develop...
Sylvain Jubertie, Emmanuel Melin