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Data-intensive computing
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111	Breakout #3: Collaboration Tools and Strategies Can we break this discussion up into two groupings? social interactions and data management systems Multi-dimensional space: networking, distributed work across time and Add to Reading List Source URL: www.ncar.ucar.edu Language: English - Date: 2002-11-06 18:05:59 E-Science Collaboration Information science Knowledge engineering Cyberinfrastructure Collaboratory Renaissance Computing Institute Interoperability Application software Ontology Data-intensive computing ICME cyberinfrastructure
112	Techniques for Preserving Scientific Software Executions: Preserve the Mess or Encourage Cleanliness? Douglas Thain, Peter Ivie, and Haiyan Meng Department of Computer Science and Engineering University of Notre Dame {dt Add to Reading List Source URL: daspos.crc.nd.edu Language: English - Date: 2015-11-23 09:47:58 Software distribution Software Digital preservation Records management Computer program Virtual appliance Package manager Emulator Executable Operating system Application software Data-intensive computing
113	Online Aggregation for Large MapReduce Jobs Niketan Pansare1 , Vinayak Borkar2 , Chris Jermaine1 , Tyson Condie3 1 Rice University, 2 UC Irvine, 3 Yahoo! Research Add to Reading List Source URL: asterixdb.ics.uci.edu Language: English - Date: 2013-06-06 15:43:58 Parallel computing Summary statistics Econometrics Estimation theory Statistical inference MapReduce Data-intensive computing Gamma distribution Apache Hadoop Confidence interval Bayes estimator Mode
114	ES2: A Cloud Data Storage System for Supporting Both OLTP and OLAP Yu Cao† , Chun Chen§ , Fei Guo† , Dawei Jiang†, Yuting Lin† , Beng Chin Ooi† , Hoang Tam Vo† , Sai Wu† , Quanqing Xu† † Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2011-03-24 10:42:30 Data management Online analytical processing Online transaction processing Database index Data-intensive computing Data Bitmap index Extensible Storage Engine Query language Column-oriented DBMS Database model
115	Predicting Scheduling Failures in the Cloud Mbarka Soualhia1 , Foutse Khomh2 and Sofi`ene Tahar1 arXiv:submitcs.SE] 13 Jul Add to Reading List Source URL: swat.polymtl.ca Language: English - Date: 2015-07-13 16:20:04 Job scheduling Scheduling Cloud infrastructure Apache Hadoop Apache Software Foundation Job Windows Task Scheduler Task Preemption Job scheduler Data-intensive computing
116	MARIANE: MApReduce Implementation Adapted for HPC Environments Zacharia Fadika, Elif Dede, Madhusudhan Govindaraju, Lavanya Ramakrishnan‡ Department of Computer Science, State University of New York (SUNY) at Binghamto Add to Reading List Source URL: www.cs.binghamton.edu Language: English - Date: 2013-07-27 18:07:43 Parallel computing Cloud infrastructure Hadoop Apache Software Foundation Apache Hadoop Data-intensive computing MapReduce IBM General Parallel File System Google File System Computer cluster MapR Clustered file system
117	Performance Management for Big Data Apps MEETS PERFORMANCE MANAGEMENT FOR BIG DATA APPLICATIONS Add to Reading List Source URL: cdn2.hubspot.net Language: English - Date: 2015-03-12 21:01:37 Cloud infrastructure Hadoop Parallel computing Apache Hadoop Apache Software Foundation Distributed computing architecture Cascading Big data Application performance management MapReduce Infrastructure optimization Data-intensive computing
118	Semantic Based Data Collection for Large Scale Cloud Systems Jonathan Stuart Ward Adam Barker Add to Reading List Source URL: www.adambarker.org Language: English - Date: 2012-05-17 07:26:06 Parallel computing System administration Nagios Cloud computing Multi-agent systems Elasticity Ganglia Computer cluster Data-intensive computing Node Clientserver model Data center
119	DOC Document Add to Reading List Source URL: www.capsl.udel.edu Language: English - Date: 2015-02-12 15:30:49 Parallel computing Guang Gao Computer architecture Software pipelining Symposium on Parallelism in Algorithms and Architectures Superscalar processor Dataflow architecture Instruction-level parallelism Data-intensive computing XPL Rock Josh Fisher
120	Hyracks: A Flexible and Extensible Foundation for Data-Intensive Computing Vinayak Borkar, Michael Carey, Raman Grover, Nicola Onose, Rares Vernica Computer Science Department, University of California, Irvine Irvine, CA Add to Reading List Source URL: asterix.ics.uci.edu Language: English - Date: 2013-06-06 15:43:58 Hadoop Parallel computing Apache Software Foundation Distributed computing architecture Query languages Apache Hadoop Data-intensive computing MapReduce Pig Apache HBase ECL Data

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