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检索条件"任意字段=DataCloud 5th International Workshop on Data Intensive Computing in the Clouds"
26 条 记 录,以下是21-30 订阅
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Locality and Network-Aware Reduce Task Scheduling for data-intensive Applications
Locality and Network-Aware Reduce Task Scheduling for Data-I...
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international workshop on data-intensive computing in the clouds (datacloud)
作者: Engin Arslan Mrigank Shekhar Tevfik Kosar University-at Buffalo (SUNY) Infel Corporation
MapReduce is one of the leading programming frameworks to implement data-intensive applications by splitting the map and reduce tasks to distributed servers. Although there has been substantial amount of work on map t... 详细信息
来源: 评论
Towards Benchmarking IaaS and PaaS clouds for Graph Analytics  5th
Towards Benchmarking IaaS and PaaS Clouds for Graph Analytic...
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5th international workshop on Big data Benchmarking (WBDB)
作者: Iosup, Alexandru Capota, Mihai Hegeman, Tim Guo, Yong Ngai, Wing Lung Varbanescu, Ana Lucia Verstraaten, Merijn Delft Univ Technol Delft Netherlands Univ Amsterdam Amsterdam Netherlands
Cloud computing is a new paradigm for using ICT services-only when needed and for as long as needed, and paying only for service actually consumed. Benchmarking the increasingly many cloud services is crucial for mark... 详细信息
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Pecos: A Scalable Solution for Analyzing and Managing Qualitative data
Pecos: A Scalable Solution for Analyzing and Managing Qualit...
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international workshop on data-intensive computing in the clouds (datacloud)
作者: Ritu Arora Trung Nguyen Ba Tiffany A. Connors Texas Advanced Computing Center Austin TX USA The University of Texas at Austin Austin TX USA Texas State University San Marcos Texas USA
Large, heterogeneous, and complex data collections can be difficult to analyze and manage manually. there is a need for scalable and user-friendly approaches that can automate the analysis and management of such colle... 详细信息
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36th international Conference on Conceptual Modeling, ER 2017 held in Conjuction with the 3rd international workshop on Modeling for Ambient Assistance and Healthy Ageing, AHA 2017, 6th international workshop on Modeling and Management of Big data, MoBiD 2017, 4th international workshop on Conceptual Modeling in Requirements and Business Analysis, MREBA 2017, 5th international workshop on Ontologies and Conceptual Modeling, OntoCom 2017 and 4th workshop on Quality of Models and Models of Quality, QMMQ 2017
36th International Conference on Conceptual Modeling, ER 201...
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36th international Conference on Conceptual Modeling, ER 2017 held in Conjuction with the 3rd international workshop on Modeling for Ambient Assistance and Healthy Ageing, AHA 2017, 6th international workshop on Modeling and Management of Big data, MoBiD 2017, 4th international workshop on Conceptual Modeling in Requirements and Business Analysis, MREBA 2017, 5th international workshop on Ontologies and Conceptual Modeling, OntoCom 2017 and 4th workshop on Quality of Models and Models of Quality, QMMQ 2017
the proceedings contain 22 papers. the special focus in this conference is on Conceptual Modeling. the topics include: Towards an ontology for strategic decision making: the Case of quality in rapid software developme...
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Scheduling of tasks in the parareal algorithm for heterogeneous cloud platforms
Scheduling of tasks in the parareal algorithm for heterogene...
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26th IEEE international Parallel and Distributed Processing Symposium (IPDPS) / workshop on High Performance data intensive computing
作者: Xiao, Hongtao Aubanel, Eric Univ New Brunswick Fac Comp Sci Fredericton NB E3B 5A3 Canada
Parallelization of time-dependent partial differential equations (PDEs) can be accomplished by time decomposition using the parareal algorithm. While the parareal algorithm was designed to enable real-time simulations... 详细信息
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workshop on data intensive computing in the clouds - datacloud
IEEE International Symposium on Parallel and Distributed Pro...
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IEEE international Symposium on Parallel and Distributed Processing workshops and Phd Forum 2011年 1033-1033页
作者: Kosar, Tevfik Raicu, Ioan Foster, Ian Fox, Geoffrey Hamilton, James Parashar, Manish Reed, Dan Wolski, Rich Zhang, Liang-Jie Abramson, David Barga, Roger Bent, John Catalyurek, Umit Chandra, Abhishek Chang, Rong N. Chen, Yong Choudhary, Alok Cooper, Brian Deelman, Ewa Demirbas, Murat Iamnitchi, Adriana Indrawan, Maria Iosup, Alexandru Kacsuk, Peter Katz, Dan Ko, Steven Von Laszewski, Gregor Laure, Erwin Llorente, Ignacio Moore, Reagan Ramakrishnan, Lavanya Schintke, Florian Taylor, Ian thain, Douglas Traversat, Bernard Zhao, Yong University at Buffalo United States Illinois Institute of Technology United States Univ. of Chicago Argonne National Lab. United States Indiana University United States Amazon Web Services United States Rutgers University NSF United States Microsoft Research United States University of California Santa Barbara United States IBM Research China Monash University Australia Los Alamos National Laboratory United States Ohio State University United States University of Minnesota United States Texas Tech. University United States Northwestern University United States Google United States University of Southern California United States University of South Florida United States Delft University of Technology Netherlands Hungarian Academy of Sciences Hungary University of Chicago United States CERN Switzerland Universidad Complutense Madrid Spain University of North Carolina United States Lawrence Berkeley National Laboratory United States Zuse Institute Berlin Germany Cardiff University United Kingdom University of Notre Dame United States Oracle United States Univ. of Electronic Science and Tech. of China China
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