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检索条件"主题词=Data Intensive Computing"
67 条 记 录,以下是41-50 订阅
排序:
Locality-driven High-level I/O Aggregation for Processing Scientific datasets
Locality-driven High-level I/O Aggregation for Processing Sc...
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IEEE International Conference on Big data (Big data)
作者: Liu, Jialin Crysler, Bradly Lu, Yin Chen, Yong Texas Tech Univ Dept Comp Sci Lubbock TX 79409 USA
Scientific I/O libraries, like PnetCDF, ADIOS, and HDF5, have been commonly used to facilitate the array-based scientific dataset processing. The underlying physical data layout information, however, is usually hidden... 详细信息
来源: 评论
MapReduce Workload Modeling with Statistical Approach
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JOURNAL OF GRID computing 2012年 第2期10卷 279-310页
作者: Yang, Hailong Luan, Zhongzhi Li, Wenjun Qian, Depei Beihang Univ Sino German Joint Software Inst State Key Lab Software Dev Environm Sch Comp Sci & Engn Beijing Peoples R China
Large-scale data-intensive cloud computing with the MapReduce framework is becoming pervasive for the core business of many academic, government, and industrial organizations. Hadoop, a state-of-the-art open source pr... 详细信息
来源: 评论
Analyzing design choices for distributed multidimensional indexing
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JOURNAL OF SUPERcomputing 2012年 第3期59卷 1552-1576页
作者: Nam, Beomseok Sussman, Alan Ulsan Natl Inst Sci & Technol Sch Elect & Comp Engn Ulsan 689798 South Korea Univ Maryland Dept Comp Sci College Pk MD 20742 USA
Scientific datasets are often stored on distributed archival storage systems, because geographically distributed sensor devices store the datasets in their local machines and also because the size of scientific datase... 详细信息
来源: 评论
Statistics-based Workload Modeling for MapReduce
Statistics-based Workload Modeling for MapReduce
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26th IEEE International Parallel and Distributed Processing Symposium (IPDPS) / Workshop on High Performance data intensive computing
作者: Yang, Hailong Luan, Zhongzhi Li, Wenjun Qian, Depei Guan, Gang Beihang Univ Sch Comp Sci Beijing Peoples R China Tencent Res Beijing Peoples R China
Large-scale data-intensive computing with MapReduce framework in Cloud is becoming pervasive for the core business of many academic, government, and industrial organizations. Hadoop is by far the most successful reali... 详细信息
来源: 评论
Improving data Analysis Performance for High-Performance computing with Integrating Statistical Metadata in Scientific datasets
Improving Data Analysis Performance for High-Performance Com...
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25th ACM/IEEE International Conference for High Performance computing, Networking, Storage and Analysis (SC)
作者: Liu, Jialin Chen, Yong Texas Tech Univ Dept Comp Sci Lubbock TX 79409 USA
Scientific datasets and libraries, such as HDF5, ADIOS, and NetCDF, have been used widely in many data intensive applications. These libraries have their special file formats and I/O functions to provide efficient acc... 详细信息
来源: 评论
OpenFlow Enabled Hadoop Over Local and Wide Area Clusters
OpenFlow Enabled Hadoop Over Local and Wide Area Clusters
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25th ACM/IEEE International Conference for High Performance computing, Networking, Storage and Analysis (SC)
作者: Narayan, Sandhya Bailey, Stuart Greenway, Matthew Grossman, Robert Heath, Allison Powell, Ray Daga, Anand InfoBlox Inc Santa Clara CA USA Univ Chicago Inst Comp Chicago IL USA Univ Houston Dept Comp Sci Houston TX USA
Hadoop has emerged as an important platform for data intensive computing. The shuffle and sort phases of a MapReduce computation often saturate top of the rack switches, as well as switches that aggregate multiple rac... 详细信息
来源: 评论
DOSAS: Mitigating the Resource Contention in Active Storage Systems
DOSAS: Mitigating the Resource Contention in Active Storage ...
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IEEE International Conference on Cluster computing
作者: Chen, Chao Chen, Yong Roth, Philip C. Texas Tech Univ Dept Comp Sci Lubbock TX 79409 USA Oak Ridge Natl Lab Comp Sci & Math Div Oak Ridge TN USA
Active storage provides an effective method to mitigate the I/O bottleneck problem of data intensive high performance computing applications. It can reduce the amount of data transferred as the application runs by mov... 详细信息
来源: 评论
MapReduce Across Distributed Clusters for data-intensive Applications
MapReduce Across Distributed Clusters for Data-intensive App...
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26th IEEE International Parallel and Distributed Processing Symposium (IPDPS) / Workshop on High Performance data intensive computing
作者: Wang, Lizhe Tao, Jie Marten, Holger Streit, Achim Khan, Samee U. Kolodziej, Joanna Chen, Dan Chinese Acad Sci Ctr Earth Observat & Digital Earth Beijing 100864 Peoples R China Steinbuch Ctr Comp Karlsruhe Inst Technol Karlsruhe Germany North Dakota State Univ Dept Elect & Comp Engn Fargo ND 58105 USA Univ Bielsko Biala Dept Math & Comp Sci Bielsko Biala Poland China Univ Geosci Sch Comp Beijing Peoples R China
Recently, the computational requirements for largescale data-intensive analysis of scientific data have grown significantly. In High Energy Physics (HEP) for example, the Large Hadron Collider (LHC) produced 13 petaby... 详细信息
来源: 评论
The Design of a Community Science Cloud: The Open Science data Cloud Perspective
The Design of a Community Science Cloud: The Open Science Da...
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25th ACM/IEEE International Conference for High Performance computing, Networking, Storage and Analysis (SC)
作者: Grossman, Robert L. Greenway, Matthew Heath, Allison P. Powell, Ray Suarez, Rafael D. Wells, Walt White, Kevin Atkinson, Malcolm Klampanos, Iraklis Alvarez, Heidi L. Harvey, Christine Mambretti, Joe J. Univ Chicago Chicago IL 60637 USA Univ Edinburgh Edinburgh EH8 9YL Midlothian Scotland Florida Int Univ Miami FL 33199 USA Richard Stockton Coll New Jersey Galloway NJ USA Northwestern Univ Evanston IL 60208 USA
In this paper we describe the design, and implementation of the Open Science data Cloud, or OSDC. The goal of the OSDC is to provide petabyte-scale data cloud infrastructure and related services for scientists working... 详细信息
来源: 评论
Improving data Analysis Performance for High-Performance computing with Integrating Statistical Metadata in Scientific datasets
Improving Data Analysis Performance for High-Performance Com...
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High Performance computing, Networking, Storage and Analysis (SCC), SC Companion:
作者: Jialin Liu Yong Chen Computer Science Department Texas Tech University Lubbock TX USA
Scientific datasets and libraries, such as HDF5, ADIOS, and NetCDF, have been used widely in many data intensive applications. These libraries have their special file formats and I/O functions to provide efficient acc... 详细信息
来源: 评论