Data-intensive computing - PDFSEARCH.IO - Document Search Engine

Data-intensive computing
Results: 401

#	Item
101	DELMA: Dynamically ELastic MApReduce Framework for CPU-Intensive Applications Zacharia Fadika 1 , Madhusudhan Govindaraju 2 Department of Computer Science, State University of New York (SUNY) at Binghamton 1 Add to Reading List Source URL: www.cs.binghamton.edu Language: English - Date: 2013-07-27 18:16:18 Parallel computing Apache Hadoop Data-intensive computing MapReduce Computer cluster Google File System Big data Jumbune Distributed file system for cloud
102	From Abstractions to MODELS: MOdels for Distributed and Extremely Large-scale Science Shantenu Jha1 , Daniel S. Katz2 , Matteo Turilli1 , Jon Weissman3 1 RADICAL Laboratory, Electric and Computer Engineering, Rutgers Un Add to Reading List Source URL: danielskatz.org Language: English - Date: 2016-02-12 03:29:34 Systems engineering Parallel computing Distributed computing Data-intensive computing Cloud computing Middleware Abstraction SHIWA project
103	Using Lustre with Apache Hadoop Table of Contents Overview and Issues with Hadoop+HDFS.....................................................................2 MapReduce and Hadoop overview.................................. Add to Reading List Source URL: wiki.lustre.org Language: English - Date: 2016-06-02 10:30:47 Cloud infrastructure Hadoop Parallel computing Apache Software Foundation Apache Hadoop MapReduce MapR Lustre Data-intensive computing Distributed file system for cloud
104	The OmniMark Advantage OmniMark is a proven technology, designed from the ground up to efficiently address the full range of challenges encountered when building enterprise content processing applications. The advantage Add to Reading List Source URL: developers.omnimark.com Language: English - Date: 2007-04-12 10:15:15 Content management systems Data management Content management Technical communication Business requirements Information technology management Data-intensive computing Enterprise content management
105	Efficient Parallel Set-Similarity Joins Using MapReduce Add to Reading List Source URL: flamingo.ics.uci.edu Language: English - Date: 2013-04-16 21:54:23 Parallel computing Distributed computing architecture MapReduce Compiler construction Data-intensive computing Lexical analysis Hash function Data Typetoken distinction Function Parallelization contract
106	A Framework for Supporting DBMS-like Indexes in the Cloud Gang Chen Hoang Tam Vo, Sai Wu, Beng Chin Ooi National University of Singapore Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2011-06-09 13:32:38 Distributed data storage Parallel computing B-tree Database index Databases Chord Data-intensive computing BATON Overlay Database MapReduce Query optimization Apache Cassandra
107	Microsoft Word - Big_Data.doc Add to Reading List Source URL: cra.org Language: English - Date: 2016-03-07 14:52:59 Parallel computing Data management Cloud storage Cloud computing Cloud infrastructure Data-intensive computing Big data Target Computer cluster Data center Database Computing
108	Big Data Meets HPC – Exploiting HPC Technologies for Accelerating Big Data Processing Keynote Talk at HPCAC-Switzerland (Marby Dhabaleswar K. (DK) Panda Add to Reading List Source URL: www.hpcadvisorycouncil.com Language: English - Date: 2016-04-06 01:18:06 Hadoop Cloud infrastructure Apache Software Foundation Parallel computing Apache Hadoop Apache HBase Data-intensive computing Apache Spark MapR GraphLab Big data Solid-state drive
109	LNCSBDMS Performance Evaluation: Practices, Pitfalls, and Possibilities Add to Reading List Source URL: asterixdb.ics.uci.edu Language: English - Date: 2013-06-06 20:04:49 Structured storage Hadoop Apache Software Foundation Distributed computing architecture Data management YCSB Benchmark Transaction Processing Performance Council NoSQL Data-intensive computing Database Apache Hadoop
110	The OmniMark Advantage OmniMark is a proven technology, designed from the ground up to efficiently address the full range of challenges encountered when building enterprise content processing applications. The advantage Add to Reading List Source URL: developers.omnimark.com Language: English - Date: 2007-04-12 10:15:45 Content management systems Data management Content management Technical communication Business requirements Information technology management Data-intensive computing Enterprise content management

UPDATE