Large-scale graph computing at GooglePhilosophy We strive to create an environment conducive to many different types of research across many different time scales and levels of risk. Learn more about our Philosophy Learn more
https://jp.techcrunch.com/2009/05/19/20090518eric-schmidts-keynote-address-at-carnegie-mellon-video/
Bytepawn - Readings in Distributed Systems
Marton Trencseni on Software, Systems and other Ideas.Bytepawn Marton Trencseni on Software, Systems and other Ideas. About Readings in Distributed Systems Readings in Distributed Systems An expanding list of papers on Distributed Systems. If you think something important is missing from this page, please email me. I. The Google Papers A complete list of papers written by Googlers is here. The 5 p
Google Research Publication: MapReduce: Simplified Data Processing on Large Clusters
MapReduce: Simplified Data Processing on Large Clusters Jeffrey Dean and Sanjay Ghemawat Abstract MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs, and a reduce function that merges all intermediate values associated with t
Google Releases Paper on Disk Reliability - Slashdot
Posted by Zonk on Sunday February 18, 2007 @12:18AM from the fun-saturday-night-reading dept. oski4410 writes "The Google engineers just published a paper on Failure Trends in a Large Disk Drive Population. Based on a study of 100,000 disk drives over 5 years they find some interesting stuff. To quote from the abstract: 'Our analysis identifies several parameters from the drive's self monitoring f
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Database War Stories #7: Google File System and BigTable - O'Reilly Radar
Google Code University - Google Code
http://www.databasecolumn.com/2008/01/mapreduce-a-major-step-back.html
Why data matters
MapReduce — a Major Step Backwards? - Slashdot