互联网环境下分布式事务处理系统现状与趋势

马鹏玮; 魏凯; 姜春宇

doi:10.11959/j.issn.2096-0271.2018021

您当前的位置：

首页 >

文章列表页 >

互联网环境下分布式事务处理系统现状与趋势

论坛 | 更新时间：2024-06-03

- 互联网环境下分布式事务处理系统现状与趋势
- State of the art and future research on distributed processing system in Internet environment
- 大数据 2018年4卷第2期页码：2018021
- 作者机构：
- 作者简介：
  
  [ "马鹏玮（1993-），男，中国信息通信研究院云计算与大数据研究所大数据研发与测试工程师，主要研究方向为大数据技术体系以及数据库技术体系。" ]
  [ "魏凯（1981-），男，中国信息通信研究院云计算与大数据研究所部门主任，中国信息通信研究院互联网领域副主席，国际电信联盟分布式账本焦点组（ITU-T FG DLT）副主席，ITU-T SG16 Q21报告人，中国通信标准化协会TC1大数据与区块链工作组组长。牵头完成数据中心联盟大数据基准测试、可信区块链评测等标准和评测体系。主要研究方向为大数据和区块链相关技术与标准。" ]
  [ "姜春宇（1987-），男，中国信息通信研究院移动互联网与大数据部工程师，数据中心联盟大数据技术与产品工作组组长。主要研究方向为大数据技术体系，从事大数据技术和产品的标准化工作，牵头建立了国内首个大数据产品能力评测体系。参与起草《促进国家大数据发展行动纲要》，参与编写工业和信息化部《大数据产业“十三五”发展规划》。" ]
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2018021
  中图分类号： TP392
- 网络首发：2018-03，
  
  纸质出版：2018-03-15
- 稿件说明：
移动端阅览
马鹏玮, 魏凯, 姜春宇. 互联网环境下分布式事务处理系统现状与趋势[J]. 大数据, 2018,4(2):2018021.

Pengwei MA, Kai WEI, Chunyu JIANG. State of the art and future research on distributed processing system in Internet environment[J]. Big data research, 2018, 4(2): 2018021.
马鹏玮, 魏凯, 姜春宇. 互联网环境下分布式事务处理系统现状与趋势[J]. 大数据, 2018,4(2):2018021. DOI： 10.11959/j.issn.2096-0271.2018021.

Pengwei MA, Kai WEI, Chunyu JIANG. State of the art and future research on distributed processing system in Internet environment[J]. Big data research, 2018, 4(2): 2018021. DOI： 10.11959/j.issn.2096-0271.2018021.

摘要

传统集中式数据处理系统由于摩尔定律的逐渐失效，开始显露出性能瓶颈，无法有效支撑当前业务的快速发展。同时由于安全、成本、政策等原因，原有集中式数据处理系统向分布式数据处理系统转型成为必经之路。从分布式事务处理系统的发展背景、优势及挑战、技术特点、应用要点、未来发展方向等方面介绍了分布式事务处理系统的意义、现状及趋势，为后续分布式事务处理系统的应用及发展提供了理论基础和指导。

Abstract

Due to the gradual failure of Moore’s law

traditional centralized data processing systems begin to show performance bottlenecks

which can’t effectively support the rapid development of current business.At the same time

due to the security

cost

policy and other reasons

the transformation of the original centralized data processing system into a distributed data processing system has become the only way.The significance

present situation and prospect of distributed transaction data processing system from its development background

advantages and challenges

technical characteristics

application points

future development direction were introduced.A theoretical basis and guidance for the application and development of distributed transaction data processing system was provided.

关键词

Keywords

references

CORBETT J C , DEAN J , EPSTEIN M , et al . Spanner:Google's globally-distributed database [C ] // USENIX Conference on Operating Systems Design and Implementation,October 8-10,2012,Hollywood,USA . Berkeley:USENIX Association , 2012 : 251 - 264 .

CHEUNG D W , NG V T , FU A W , et al . Efficient mining of association rules in distributed databases [J ] . IEEE Transactions on Knowledge ＆ Data Engineering , 1996 , 8 ( 6 ): 911 - 922 .

ÖZSU M T , VALDURIEZ P . Principles of distributed database systems [M ] . Berlin : Springer , 1999 , 24 ( 1 ): 31 - 41 .

BERNSTEIN P A . Concurrency control in distributed database systems [J ] . ACM Computing Surveys , 1989 , 13 ( 2 ): 185 - 221 .

PAIVA J , RUIVO P , Romano P , et al . AutoPlacer:scalable self-tuning data placement in distributed key-value stores [J ] . ACM Transactions on Autonomous ＆Adaptive Systems , 2014 , 9 ( 4 ): 19 .

KUMAR R , GUPTA N , CHARU S , et al . Manage big data through NewSQL [C ] // National Conference on Innovation in Wireless Communication and Networking Technology,April 6-9,2014,Istanbul,Turkey . Piscataway:IEEE Press , 2014 : 1 - 6 .

KUMAR R , PARASHAR B B , GUPTA S , et al . Apache Hadoop,NoSQL and NewSQL solutions of big data [J ] . International Journal of Advance Foundation and Research in Science ＆ Engineering , 2014 , 1 ( 6 ): 28 - 36 .

ARDEKANI M S , TERRY D B . A selfconfigurable geo-replicated cloud storage system [C ] // USENIX Conference on Operating Systems Design and Implementation,October 6-8,2014,Broomfield,USA . Berkeley:USENIX Association , 2015 : 367 - 381 .

LING G U , WENG H X,HUA-LIANG H U , et al . OceanBase schema design for OLAP application [J ] . Journal of East China Normal University , 2014 ( 5 ): 301 - 310 .

RAMANATHAN S , GOEL S , ALAGUMALAI S . Comparison of cloud database:Amazon's simpleDB and Google's bigtable [C ] // International Conference on Recent Trends in Information Systems,June 3-5,2011,Chennai,India . Piscataway:IEEE Press , 2011 : 165 - 168 .

SUKHWANI B , MIN H , THOENNES M , et al . Database analytics acceleration using FPGAs [C ] // International Conference on Parallel Architectures and Compilation Techniques,September 9-13,2017,Portland,USA . Piscataway:IEEE Press , 2017 : 411 - 420 .

ABBAS Q , SHAFIQ H , AHMAD I , et al . Concurrency control in distributed database system [C ] // International Conference on Computer Communication and Informatics,January 7-9,2016,Coimbatore,India . Piscataway:IEEE Press , 2016 : 1 - 4 .

浏览量

661

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

面向元宇宙的云边端协同大数据管理