MapReduce: simplified data processing on large clusters
Communications of the ACM - 50th anniversary issue: 1958 - 2008
Twister: a runtime for iterative MapReduce
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Spark: cluster computing with working sets
HotCloud'10 Proceedings of the 2nd USENIX conference on Hot topics in cloud computing
HaLoop: efficient iterative data processing on large clusters
Proceedings of the VLDB Endowment
Distributed and Cloud Computing: From Parallel Processing to the Internet of Things
Distributed and Cloud Computing: From Parallel Processing to the Internet of Things
Data intensive applications on clouds
Proceedings of the second international workshop on Data intensive computing in the clouds
CLOUDCOM '11 Proceedings of the 2011 IEEE Third International Conference on Cloud Computing Technology and Science
Towards Reproducible eScience in the Cloud
CLOUDCOM '11 Proceedings of the 2011 IEEE Third International Conference on Cloud Computing Technology and Science
Pilot-MapReduce: an extensible and flexible MapReduce implementation for distributed data
Proceedings of third international workshop on MapReduce and its Applications Date
Abstract Image Management and Universal Image Registration for Cloud and HPC Infrastructures
CLOUD '12 Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing
Proceedings of the 2012 workshop on Cloud services, federation, and the 8th open cirrus summit
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We summarize important overall issues affecting use of clouds to support Data Science. We describe the mapping of different applications to HPCC and Cloud systems and the architecture that support data analytics that is interoperable between these architectures.