Fay W. Chang, J. Dean, S. Ghemawat, Wilson C. Hsieh, D. Wallach, M. Burrows, Tushar Chandra, Andrew Fikes, R. Gruber
{"title":"Bigtable: A Distributed Storage System for Structured Data","authors":"Fay W. Chang, J. Dean, S. Ghemawat, Wilson C. Hsieh, D. Wallach, M. Burrows, Tushar Chandra, Andrew Fikes, R. Gruber","doi":"10.1145/1365815.1365816","DOIUrl":null,"url":null,"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 projects at Google store data in Bigtable, including web indexing, Google Earth, and Google Finance. These applications place very different demands on Bigtable, both in terms of data size (from URLs to web pages to satellite imagery) and latency requirements (from backend bulk processing to real-time data serving). Despite these varied demands, Bigtable has successfully provided a flexible, high-performance solution for all of these Google products. In this article, we describe the simple data model provided by Bigtable, which gives clients dynamic control over data layout and format, and we describe the design and implementation of Bigtable.","PeriodicalId":50918,"journal":{"name":"ACM Transactions on Computer Systems","volume":"29 1","pages":"4:1-4:26"},"PeriodicalIF":2.0000,"publicationDate":"2006-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5648","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Computer Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/1365815.1365816","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 5648
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 projects at Google store data in Bigtable, including web indexing, Google Earth, and Google Finance. These applications place very different demands on Bigtable, both in terms of data size (from URLs to web pages to satellite imagery) and latency requirements (from backend bulk processing to real-time data serving). Despite these varied demands, Bigtable has successfully provided a flexible, high-performance solution for all of these Google products. In this article, we describe the simple data model provided by Bigtable, which gives clients dynamic control over data layout and format, and we describe the design and implementation of Bigtable.
期刊介绍：
ACM Transactions on Computer Systems (TOCS) presents research and development results on the design, implementation, analysis, evaluation, and use of computer systems and systems software. The term "computer systems" is interpreted broadly and includes operating systems, systems architecture and hardware, distributed systems, optimizing compilers, and the interaction between systems and computer networks. Articles appearing in TOCS will tend either to present new techniques and concepts, or to report on experiences and experiments with actual systems. Insights useful to system designers, builders, and users will be emphasized.
TOCS publishes research and technical papers, both short and long. It includes technical correspondence to permit commentary on technical topics and on previously published papers.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
