Heterogeneous distributed database systems for production use

Author:

Thomas Gomer1,Thompson Glenn R.2,Chung Chin-Wan3,Barkmeyer Edward4,Carter Fred5,Templeton Marjorie5,Fox Stephen6,Hartman Berl7

Affiliation:

1. Bellcore, Piscataway, NJ

2. Amoco Production Company Research Center, Tulsa, OK

3. GM Research Labs, Warren, MI

4. National Institute of Standards and Technology, Gaithersburg, MD

5. Ingres Corp., Alameda, CA

6. Data Integration, Inc., Los Angeles, CA

7. Sybase, Inc., Emeryville, CA

Abstract

It is increasingly important for organizations to achieve additional coordination of diverse computerized operations. To do so, it is necessary to have database systems that can operate over a distributed network and can encompass a heterogeneous mix of computers, operating systems, communications links, and local database management systems. This paper outlines approaches to various aspects of heterogeneous distributed data management and describes the characteristics and architectures of seven existing heterogeneous distributed database systems developed for production use. The objective is a survey of the state of the art in systems targeted for production environments as opposed to research prototypes.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

Reference40 articles.

1. BARKMEYER E. MITCHELL M. MIKKILINENI K. Su S. Y. W. AND LAM H. 1986. An architecture for an integrated manufacturing data administration system. NBSIR 863312 National Bureau of Standards Gaithersburg Md. BARKMEYER E. MITCHELL M. MIKKILINENI K. Su S. Y. W. AND LAM H. 1986. An architecture for an integrated manufacturing data administration system. NBSIR 863312 National Bureau of Standards Gaithersburg Md.

2. Multidatabase systems with a decentralized concurrency control scheme;BREITBART Y. J.;IEEE Comput. Soc. Distrib. Proc. Tech. Comm. Newsletter,1988

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