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Database Performance Evaluation in an Indexed File Environment.

Jane Fedorowicz: Database Performance Evaluation in an Indexed File Environment. ACM Trans. Database Syst. 12(1): 85-110(1987)
@article{DBLP:journals/tods/Fedorowicz87,
  author    = {Jane Fedorowicz},
  title     = {Database Performance Evaluation in an Indexed File Environment},
  journal   = {ACM Trans. Database Syst.},
  volume    = {12},
  number    = {1},
  year      = {1987},
  pages     = {85-110},
  ee        = {http://doi.acm.org/10.1145/12047.13675, db/journals/tods/Fedorowicz87.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

The use of database systems for managerial decision making often incorporates information-retrieval capabilities with numeric report generation. Of great concern to the user of such a system is the response time associated with issuing a query to the database. This study presents a procedure for estimating response time for one of the most frequently encountered physical storage mechanisms, the indexed file. The model provides a fairly high degree of accuracy, but is simple enough so that the cost of applying the model is not exorbitant. The model incorporates the knowledge that the distribution of access key occurrences is known to follow Zipf's law. It first estimates the access time required to complete the query, which includes the time needed for all input and output transactions, and CPU time used in performing the search. The effects of multiple users on an individual's response time are then assessed using a simple regression estimation technique. The two-step procedure allows for the separation of access time from multiuser influences.

Copyright © 1987 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.


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Referenced by

  1. Chengwen Liu, I-Ping Chu: Load Balancing in Distributed Query Processing. DASFAA 1995: 256-263
  2. Anthony Tomasic, Hector Garcia-Molina: Issues in Parallel Information Retrieval. IEEE Data Eng. Bull. 17(3): 41-49(1994)
  3. Anthony Tomasic, Hector Garcia-Molina: Query Processing and Inverted Indices in Shared-Nothing Document Information Retrieval Systems. VLDB J. 2(3): 243-275(1993)
  4. Sheau-Dong Lang, James R. Driscoll, Jiann H. Jou: A Unified Analysis of Batched Searching of Sequential and Tree-Structured Files. ACM Trans. Database Syst. 14(4): 604-618(1989)
  5. Michael V. Mannino, Paicheng Chu, Thomas Sager: Statistical Profile Estimation in Database Systems. ACM Comput. Surv. 20(3): 191-221(1988)
  6. Jane Fedorowicz: Database Evaluation Using Multiple Regression Techniques. SIGMOD Conference 1984: 70-76
BibTeX
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