Constructing the next 100 database management systems

Author:

Geppert Andreas1,Dittrich Klaus R.1

Affiliation:

1. Institut für Informatik, Universität Zürich

Abstract

While the number of database management systems (DBMSs) increases and the various DBMSs get more and more complex, no uniform method for DBMS construction exists. As a result, developers are forced to start more or less from scratch again for every desired system, resulting in a waste of time, effort, and cost. Hence, the database community is challenged with the development of an appropriate method, i.e. the time-saving application of engineering principles (e.g., reuse). Problems related to a construction method are described, as well as approaches towards solutions.

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems,Software

Reference23 articles.

1. Modular synchronization in multiversion databases: version control and concurrency control

2. Reusability Framework, Assessment, and Directions

3. Implementation concepts for an extensible data model and data language

4. [ 5 ] M. J. Carey D. J. Dewitt D. Frank G. Graefe M. Muralikrishna J. E. Richardson: The Architecture of the EXODUS Extensible DBMS. In [10]. [5] M. J. Carey D. J. Dewitt D. Frank G. Graefe M. Muralikrishna J. E. Richardson: The Architecture of the EXODUS Extensible DBMS . In [10].

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Big Data Management: What to Keep from the Past to Face Future Challenges?;Data Science and Engineering;2017-08-10

2. An Extensible Storage Manager for Mobile DBMS;Databases and Information Systems II;2002

3. Toward an Enhancement of Textual Database Retrieval Using NLP Techniques;Natural Language Processing and Information Systems;2001

4. Thirty years (and more) of databases;Information and Software Technology;1999-11

5. OMS/Java: Model extensibility of OODBMS for advanced application domains;Notes on Numerical Fluid Mechanics and Multidisciplinary Design;1998

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3