Filtering SQL via the principles of pandemonium
Pages 11 - 14
Abstract
In this paper, we re-introduce Pandemonium, an early specification for parallel processing through semiautonomous agents. The biggest advantage of the Pandemonium approach is its simplicity, which is achieved by dividing tasks among many computational units. Using Pandemonium as a metaphor, we design an interpreter for general-purpose filtering of text. To demonstrate the applicability of our design, we show how to partially parse and correct a sequence of badly ordered SQL commands. This example is not artificial; the badly ordered commands were generated by a commercial CASE tool for database development and the command set was too large for manual correction. A Pandemonium-style approach has many advantages over using full-blown parser generators and rule-based systems for such tasks.
References
[1]
Selfridge, O., "Pandemonium: A paradigm for learning", Mechanisation of Thought Processes: I, pp. 511--526, 1959.
[2]
Smieja, F., "The Pandemonium System of Reflective Agents", IEEE Transactions on Neural Networks, 7 (1), January 1996.
[3]
daemon, which is defined by Webster's as a "tutelary deity or spirit" does not have the evil connotation of demon and is used to denote an autonomous agent in the UNIX operating system. We find it an appropriate replacement.
[4]
Herein, we will use the term Pandemonium for brevity instead of the more accurate, but awkward, phrase Pandemonium-influenced.
[5]
Codd, E., "A Relational Model for Large Shared Data Banks", Communications of the ACM, 13 (6), June 1970.
[6]
Elmashri R. and B. S. Navathe, Fundamentals Of Database Systems, The Benjamin/Cummings Publishing Company, Inc., 1994.
[7]
ANSI (1986), American National Standards Institute: The Database Language SQL, Document ANSI X3.133, 1986.
[8]
Hwang, K., Advanced Computer Architecture, published by McGraw-Hill, pp. 265--321, 1993.
[9]
Johnson, S., "Yet another compiler-compiler", Bell Labs Technical Report TM-75-1273-6, July 1975.
Information & Contributors
Information
Published In
April 1997
314 pages
ISBN:0897919254
DOI:10.1145/2817460
- Conference Chair:
- Tom Cheatham,
- Program Chairs:
- Chrisila Pettey,
- Larry Dowdy,
- Jungsoon Yoo
Copyright © 1997 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 02 April 1997
Check for updates
Qualifiers
- Research-article
Conference
ACMSE '97
Acceptance Rates
Overall Acceptance Rate 502 of 1,023 submissions, 49%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 60Total Downloads
- Downloads (Last 12 months)32
- Downloads (Last 6 weeks)7
Reflects downloads up to 17 Jan 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in