Proceedings of the second international workshop on Data intensive computing in the clouds

International Conference for High Performance Computing, Networking, Storage and Analysis(2011)

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摘要
It is our great pleasure to welcome you to the Second International Workshop on Data Intensive Computing in the Clouds (DataCloud-SC11), which is held in conjunction with SC'11. Applications and experiments in all areas of science are becoming increasingly complex and more demanding in terms of their computational and data requirements. Some applications generate data volumes reaching hundreds of terabytes and even petabytes. As scientific applications become more data intensive, the management of data resources and dataflow between the storage and compute resources is becoming the main bottleneck. Analyzing, visualizing, and disseminating these large data sets has become a major challenge and data intensive computing is now considered as the "fourth paradigm" in scientific discovery after theoretical, experimental, and computational science. DataCloud-SC11 provides the scientific community a dedicated forum for discussing new research, development, and deployment efforts in running data-intensive computing workloads on Cloud Computing infrastructures. The DataCloud-SC11 workshop focuses on the use of cloud-based technologies to meet the new data intensive scientific challenges that are not well served by the current supercomputers, grids or compute-intensive clouds. We believe the workshop will be an excellent place to help the community define the current state, determine future goals, and present architectures and services for future clouds supporting data intensive computing. The DataCloud-SC11 call for papers attracted 26 submissions from around the world. The program committee accepted 9 papers that cover a variety of topics, including MapReduce, security, storage, and I/O optimization in the Clouds. We also have a distinguished keynote speaker, Geoffrey Fox from Indiana University, giving a talk on "Data Intensive Applications in the Clouds".
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datacloud-sc11 workshop,datacloud-sc11 call,data intensive computing,data requirement,intensive scientific challenge,large data set,international workshop,scientific application,new data,data resource,data volume
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