State of the art and future research on distributed processing system in Internet environment

Pengwei MA; Kai WEI; Chunyu JIANG

doi:10.11959/j.issn.2096-0271.2018021

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State of the art and future research on distributed processing system in Internet environment

FORUM | 更新时间：2024-06-03

- State of the art and future research on distributed processing system in Internet environment
- Big data research Vol. 4, Issue 2, Pages: 2018021(2018)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2018021
  CLC： TP392
- Online First：2018-03，
  
  Published：15 March 2018
- 稿件说明：
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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：

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 .

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