The SEQUOIA 2000 storage benchmark

Author:

Stonebraker Michael1,Frew Jim1,Gardels Kenn1,Meredith Jeff1

Affiliation:

1. Electrical Engineering and Computer Science Department, University of California, Berkeley

Abstract

This paper presents a benchmark that concisely captures the data base requirements of a collection of Earth Scientists working in the SEQUOIA 2000 project on various aspects of global change research. This benchmark has the novel characteristic that it uses real data sets and real queries that are representative of Earth Science tasks. Because it appears that Earth Science problems are typical of the problems of engineering and scientific DBMS users, we claim that this benchmark represents the needs of this more general community. Also included in the paper are benchmark results for three example DBMSs: GRASS, IPW and POSTGRES.

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems,Software

Reference16 articles.

1. Anon et. al. "A Measure of Transaction Processing Power " Tandem Technical Report 85.1 Tandem Computers Cupertino Ca. August 1985. Anon et. al. "A Measure of Transaction Processing Power " Tandem Technical Report 85.1 Tandem Computers Cupertino Ca. August 1985.

2. A specialized data management system for parallel execution of particle physics codes

3. Cattell R. and Skeen J. "Object Operations Benchmark " ACM Transactions on Database Systems March 1992. 10.1145/128765.128766 Cattell R. and Skeen J. "Object Operations Benchmark " ACM Transactions on Database Systems March 1992. 10.1145/128765.128766

4. Chimenti D. et.al. "The LDL System Prototype " IEEE Transactions on Knowledge and Data Engineering March 1991. 10.1109/69.50907 Chimenti D. et.al. "The LDL System Prototype " IEEE Transactions on Knowledge and Data Engineering March 1991. 10.1109/69.50907

Cited by 44 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. Distributed processing of spatiotemporal ocean data: a survey;World Wide Web;2022-09-20

2. Benchmarking moving object functionalities of DBMSs using real-world spatiotemporal workload;2022 23rd IEEE International Conference on Mobile Data Management (MDM);2022-06

3. Array DBMS;Proceedings of the VLDB Endowment;2021-07

4. A comparative experimental study of distributed storage engines for big spatial data processing using GeoSpark;The Journal of Supercomputing;2021-07-01

5. Evaluating Geospatial RDF Stores Using the Benchmark Geographica 2;Journal on Data Semantics;2021-04-23

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