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 Research Publication: Paxos Made Live – An Engineering Perspective
Paxos Made Live &ndash An Engineering Perspective Tushar Chandra, Robert Griesemer, and Joshua Redstone Abstract We describe our experience building a fault-tolerant data-base using the Paxos consensus algorithm. Despite the existing literature in the field, building such a database proved to be non-trivial. We describe selected algorithmic and engineering problems encountered, and the solutions
Google Research Publication: The Chubby Lock Service for Loosely-Coupled Distributed Systems
The Chubby Lock Service for Loosely-Coupled Distributed Systems Mike Burrows Abstract We describe our experiences with the Chubby lock service, which is intended to provide coarse-grained locking as well as reliable (though low-volume) storage for a loosely-coupled distributed system. Chubby provides an interface much like a distributed file system with advisory locks, but the design emphasis is
Google Research Publication: Bigtable: A Distributed Storage System for Structured Data
Bigtable: A Distributed Storage System for Structured Data Fay Chang, Jeffrey Dean, Sanjay Ghemawat, Wilson C. Hsieh, Deborah A. Wallach, Mike Burrows, Tushar Chandra, Andrew Fikes, and Robert E. Gruber Abstract Bigtable is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers. Many projec
Google Research Publication: Web Search for a Planet: The Google Cluster Architecture
Web Search for a Planet: The Google Cluster Architecture Luiz Barroso, Jeffrey Dean, and Urs Hoelzle Abstract Amenable to extensive parallelization, Google's Web search application lets different queries run on different processors and, by partitioning the overall index, also lets a single query use multiple processors. To handle this workload, Google's architecture features clusters of more than
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Quantitative Analysis of Culture Using Millions of Digitized Books --Recent Google Publications
[PDF]Combined Script and Page Orientation Estimation using the Tesseract OCR engine　-- Publications by Googlers
[PDF]Low Cost Correction of OCR Errors Using Learning in a Multi-Engine Environment（2009 10th International Conference on Document Analysis and Recognition）-- Publications by Googlers
[PDF]Indexing the World Wide Web: The Journey So Far -- Publications by Googlers![[PDF]Indexing the World Wide Web: The Journey So Far -- Publications by Googlers](https://cdn-ak-scissors.b.st-hatena.com/image/square/6b6c19eda7f56ac5512f3c0bdbf9e5cfc2ba7186/height=288;version=1;width=512/https%3A%2F%2Fstorage.googleapis.com%2Fgweb-research2023-media%2Fimages%2FOpen_Graph.width-800.format-jpeg.jpg)
Learning to Rank Answers to Non-Factoid Questions from Web Collections
[PDF]"The Learning Behind Gmail Priority Inbox"　-- Google Research
The War Against Spam: A report from the front line
Qin Ding's Publications
Search by Voice in Mandarin Chinese
https://dl.acm.org/citation.cfm?id=1520585&dl=GUIDE&coll=GUIDE&CFID=100181063&CFTOKEN=66586818
[PDF] Google Book Search: Document Understanding on a Massive Scale , by Luc Vincent, Google, Inc.
Microsoft Word - MOCRadaptingtesseract2.doc
Publications – Google Research
Failure Trends in a Large Disk Drive Population
Power Provisioning for a Warehouse-sized Computer
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