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CIKM
2009
Springer
15 years 6 months ago
Packing the most onto your cloud
Parallel dataflow programming frameworks such as Map-Reduce are increasingly being used for large scale data analysis on computing clouds. It is therefore becoming important to a...
Ashraf Aboulnaga, Ziyu Wang, Zi Ye Zhang
CCGRID
2008
IEEE
15 years 6 months ago
Enabling Interoperability among Meta-Schedulers
Grid computing supports shared access to computing resources from cooperating organizations or institutes in the form of virtual organizations. Resource brokering middleware, comm...
Norman Bobroff, Liana Fong, Selim Kalayci, Yanbin ...
CLUSTER
2005
IEEE
15 years 5 months ago
Minimizing the Network Overhead of Checkpointing in Cycle-harvesting Cluster Environments
Cycle-harvesting systems such as Condor have been developed to make desktop machines in a local area (which are often similar to clusters in hardware configuration) available as ...
Daniel Nurmi, John Brevik, Richard Wolski
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 6 months ago
Towards clustering with XCS
This paper presents a novel approach to clustering using an accuracy-based Learning Classifier System. Our approach achieves this by exploiting the generalization mechanisms inher...
Kreangsak Tamee, Larry Bull, Ouen Pinngern
SIGMETRICS
2009
ACM
151views Hardware» more  SIGMETRICS 2009»
15 years 6 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