Models for studying concurrency control performance

Author:

Agrawal Rakesh1,Carey Michael J.2,Livny Miron2

Affiliation:

1. AT&T Bell Laboratories, Murray Hill NJ

2. Computer Sciences Department, University of Wisconsin, Madison WI

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems,Software

Reference43 articles.

1. J Agrawal R and Dewitt D Integrated Concurrence Control and Recover Mechanisms Design and Performance Evaluation Technical Report No 497 Computer SCI- ences Department University of Wisconsm- Madison February 1983 J Agrawal R and Dewitt D Integrated Concurrence Control and Recover Mechanisms Design and Performance Evaluation Technical Report No 497 Computer SCI- ences Department University of Wisconsm- Madison February 1983

2. Agrawal R Concurrent) Control and Recover 111 Multcprocessor Database Machines Design and Performance Evaluanon Ph D Thesis Computer Sciences Department University of Wisconsin- Madison I983 Agrawal R Concurrent) Control and Recover 111 Multcprocessor Database Machines Design and Performance Evaluanon Ph D Thesis Computer Sciences Department University of Wisconsin- Madison I983

3. Badal D 'Correctness of Concurrency Control and lmplicabons in Distributed Databases Proceedrngs of the COMPSAC '79 Conference Chicago Illinois November 1979 Badal D 'Correctness of Concurrency Control and lmplicabons in Distributed Databases Proceedrngs of the COMPSAC '79 Conference Chicago Illinois November 1979

4. Why control of the concurrency level in distributed systems is more fundamental than deadlock management

5. Bernstein P and Goodman N Fundamental Algorcthms for Concurrent\ Control m Dutnbuted Database Svstems Technical Report Computer Corporanon of America 1980 Bernstein P and Goodman N Fundamental Algorcthms for Concurrent\ Control m Dutnbuted Database Svstems Technical Report Computer Corporanon of America 1980

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

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