Fixed several deficiencies in Alex's translationBigtable: A distributed, structured data storage System Summary
BigTable is a distributed storage system that manages structured data and is designed to handle massive amounts of data: PB-level data distributed across thousands of common servers. Many of Google's projects store data in BigTable, including web indexing, Goo
chubby, if the client session expires, all locks will be lost. For more information about chubby, see another Google paper: the chubby lock service for loosely-coupled distributed systems. Chubby is used for slice locating, slice server status monitoring, access control list storage, and other tasks. 4. The bigtable cluster consists of three main parts: a librar
2006 OSDI has two Google papers, namely bigtable and chubby. Chubby is a distributed lock service based on the Paxos algorithm; bigtable is a distributed storage system for managing structured data, built on Google technologies such as GFS, Chubby, and sstable. Quite a few Google
GFS solves the requirements of distributed file systems in some business scenarios. It is natural that some services are not convenient to use only file systems. They need distributed database systems. BigTable is generated by Google to meet its internal needs for large-scale structured data processing. The words "key" involved in the paper are: 1. Structured Dat
BigTable is a distributed data storage system designed by Google to handle a database of data that is not relational. The BigTable database is a sparse, distributed, and persistent storage multidimensional sorted map. BigTable is designed to reliably process PE-level data and can be deployed on thousands of machines.
Google's BigTable principle (translation)
Preface: Google's success in addition to a brilliant idea, but also because there is Jeff Dean, such as software architecture genius.
Welcome to subscribe to the author's Weibo------editor
There is an explanation for bigtable in the official Google Reader blog. This is a system developed internally by
Disclaimer: This article is reproduced from the blog Development team Blog, respect for the original work. This article is suitable for the study of distributed systems, as a background introduction to read. When it comes to distributed systems, you have to mention Google's Troika: Google Fs[1],mapreduce[2],bigtable[3].Although Google did not release the source
Today I saw Google BigTable ppt (2005-10-18:jeff Dean gave a talk at the University of Washington about Big table-their sys TEM for storing large amounts of data in a semi-structured manner), feel nothing new
1. A method of horizontally dividing table common parallel database2. A cell is multidimensional information, which is actually a snapshot of information at multiple points in time3. Family column and
Find out about distributed computing today, found that Google's three core technology MapReduce, GFS and BigTable's papers have been translated into high-quality Chinese, more coincidentally, the three translated version of the original place are CSDN blog. One of the most recent is the MapReduce paper published by Zhang Lingyun one months ago, the first of which was the GFS paper published by Xu Lei in Nov
1. http://scholar.google.com/Although it is still in beta version, I personally think it is already very good and powerful. Google academic search filters out a large amount of junk information from common search results, lists different versions of an article and the number of times it is referenced by other articles. However, the search results are not listed in the order of authority (such as the impact factor and number of references, most of the
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.