[B! mapreduce] netironã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

netiron id:netiron

mapreduceã«é–¢ã™ã‚‹netironã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (9)

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Brown University - Data Management Group Â» A Comparison of Approaches to Large-Scale Data Analysis: MapReduce vs. DBMS Benchmarks
Overview The following information is meant to provide documentation on how others can recreate the benchmark trials used in our SIGMOD 2009 paper. Our experiments were conducted on a 100-node cluster at the University of Wisconsin-Madison; each node had a single 2.40 GHz Intel Core 2 Duo processor running 64-bit Red Hat Enterprise Linux 5 (kernel version 2.6.18) with 4GB RAM and two 250GB SATA-I
netiron 2009/08/12
database

mapreduce

hadoop

perfor
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mrtoolkit - Google Code
Code Archive Skip to content Google About Google Privacy Terms
netiron 2009/08/11
MRToolkit provides a framework for building simple Map/Reduce jobs in just a few lines of code. You provide only the map and reduce logic, the framework does the rest. Or use one of the provided map or reduce tools, and write even less. Map and reduce jobs are written in Ruby. MRToolkit was inspired

mapreduce

ruby

hadoop

programmin
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HadoopDB Project
HadoopDB An Architectural Hybrid of MapReduce and DBMS Techno logies for Analytical Workloads. HadoopDB is: A hybrid of DBMS and MapReduce techno logies that targets analytical workloads Designed to run on a shared-nothing cluster of commodity machines, or in the cloud An attempt to fill the gap in the market for a free and open source parallel DBMS Much more scala ble than currently available parall
netiron 2009/08/05
HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads. Azza Abouzeid, Kamil Bajda-Pawlikowski, Daniel J. Abadi, Avi Silberschatz, Alex Rasin. In Proceedings of VLDB, 2009. [PDF]

hadoop

database

mapreduce

vldb

h
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http://www.cloudera.com/hadoop-training-mapreduce-hdfs
netiron 2009/07/08
hadoop

mapreduce
ãƒªãƒ³ã‚¯
Google Code Archive - Long-term storage for Google Code Project Hosting.
Code Archive Skip to content Google About Google Privacy Terms
netiron 2009/02/22
dht, mapreduce, p2p, grid, distributed-computing, distributed-database, consistent-hashing, xml, java, replication, fault-tolerance

mapreduce

java

DHT
ãƒªãƒ³ã‚¯
Hadoopã®è§£æžè³‡æ–™
ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã€ŒHadoopã€ã«é–¢ã™ã‚‹è§£æžè³‡æ–™ã‚’å…¬é–‹ã•ã›ã¦é ‚ã„ã¦ãŠã‚Šã¾ã™ã€‚ã“ã®èª¿æŸ»ã¯NTTãƒ¬ã‚¾ãƒŠãƒ³ãƒˆæ ªå¼ä¼šç¤¾æ§˜ã¨å…±åŒã§è¡Œã„ã¾ã—ãŸ(ãƒ—ãƒ¬ã‚¹ãƒªãƒªãƒ¼ã‚¹)ã€‚ Hadoopè§£æžè³‡æ–™(PDF), æœ€çµ‚æ›´æ–°: 2008/08/25, å…¬é–‹: 2008/08/25 Hadoopã®å®Ÿéš›ã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«æ–¹æ³•ãªã©ã«ã¤ãã¾ã—ã¦ã¯ã€å¼Šç¤¾å¤ªç”°ã«ã‚ˆã‚‹ä»¥ä¸‹ã®è¨˜äº‹ã‚‚ã”å‚è€ƒä¸‹ã•ã„ã€‚ Hadoopã€hBaseã§æ§‹ç¯‰ã™ã‚‹å¤§è¦æ¨¡åˆ†æ•£ãƒ‡ãƒ¼ã‚¿å‡¦ç†ã‚·ã‚¹ãƒ†ãƒ Hadoopã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã¨ã‚µãƒ³ãƒ—ãƒ«ãƒ—ãƒã‚°ãƒ©ãƒ ã®å®Ÿè¡Œ è¤‡æ•°ãƒžã‚·ãƒ³ã¸Hadoopã‚’ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã™ã‚‹
netiron 2008/08/25
hadoop

mapreduce
ãƒªãƒ³ã‚¯
HRDF - HADOOP2 - Apache Software Foundation
netiron 2008/05/21
RDF

mapreduce

apache

SPARQL

db
ãƒªãƒ³ã‚¯
Skynetâˆ’æ–°ã—ã„Rubyã®MapReduce
ãƒ‡ãƒ¼ã‚¿å‡¦ç†ã‚’åˆ†æ•£ã•ã›ã‚‹MapReduceè¨è¨ˆãƒ‘ã‚¿ãƒ¼ãƒ³(source)ãŒ2004å¹´ã«Googleã«ã‚ˆã£ã¦å°Žå…¥ã•ã‚Œã€ãã‚Œã«ã¯C++ã®å®Ÿè£…ãŒã¤ã„ã¦ããŸã€‚ä»Šã§ã¯ã€Adam Pisoniæ°(ã‚µã‚¤ãƒˆãƒ»è‹±èªž)ãŒSkynet(ã‚µã‚¤ãƒˆãƒ»è‹±èªž)ã¨ã„ã†åç§°ã§ãƒªãƒªãƒ¼ã‚¹ã—ãŸæ–°ã—ã„Rubyã§ã®å®Ÿè£…ç‰ˆãŒåˆ©ç”¨å¯èƒ½ã ã€‚ Skynetã¯é †å¿œæ€§ãŒã‚ã‚Šã€è‡ªå‹•ã‚¢ãƒƒãƒ—ã‚°ãƒ¬ãƒ¼ãƒ‰æ©Ÿèƒ½ä»˜ãã§è€éšœå®³æ€§ã®å®Œå…¨åˆ†æ•£åž‹ã‚·ã‚¹ãƒ†ãƒ ã§ã€å˜ä¸€éšœå®³ç‚¹ã¯çš†ç„¡ã§ã™ã€‚ Googleã®ãƒ‡ã‚¶ã‚¤ãƒ³ãƒšãƒ¼ãƒ‘ãƒ¼ã¨Skynetã«ã¯è‘—ã—ãé‡è¦ãªç›¸é•ç‚¹ãŒ2ã¤ã‚ã‚‹ã€‚ SkynetãŒç”Ÿã‚³ãƒ¼ãƒ‰ã‚’ãƒ¯ãƒ¼ã‚«ãƒ¼ã«é€ã‚Œãªã„ã“ã¨ã€‚ Skynetã¯ãƒ”ã‚¢ãƒ»ãƒªã‚«ãƒãƒªã‚·ã‚¹ãƒ†ãƒ ã‚’åˆ©ç”¨ã—ã¦ãŠã‚Šã€ãƒ¯ãƒ¼ã‚«ãƒ¼ãŒãŠäº’ã„ã‚’ç›£è¦–ã—ã¦ã„ã‚‹ã“ã¨(ã‚µã‚¤ãƒˆãƒ»è‹±èªž)ã€‚ ç†ç”±ãŒä½•ã§ã‚ã‚Œãƒ¯ãƒ¼ã‚«ãƒ¼ãŒæ•…éšœã™ã‚‹ã€ã‚ã‚‹ã„ã¯æ©Ÿèƒ½ã—ãªããªã‚‹ã¨ã€åˆ¥ã®ãƒ¯ãƒ¼ã‚«ãƒ¼ãŒæ°—ä»˜ã„ã¦ã€ãã®ã‚¿ã‚¹ã‚¯ã‚’å¼•ãç¶™ãŽã¾ã™ã€‚ã¾ãŸã€Skynetã«ã¯ç‰¹åˆ¥ãªã€Œãƒžã‚¹ã‚¿ãƒ¼ã€ã‚µãƒ¼ãƒã¯å˜åœ¨ã›
netiron 2008/02/07
mapreduce

rails

ruby
ãƒªãƒ³ã‚¯
http://skynet.rubyforge.org/doc/index.html
netiron 2008/01/27
gem

google

mapreduce

ruby
ãƒªãƒ³ã‚¯
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