The Effect of Target Applications on the Design of Database Machines [Book Chapter]
Conference
·
· SIGMOD '81: Proceedings of the 1981 ACM SIGMOD international conference on Management of data
- Lawrence Berkeley Laboratory (LBL), Berkeley, CA (United States); University of California, Berkeley, CA (United States)
Specialized, single function processors can be built to be faster and cheaper than general purpose processors. Most database machines use such special purpose processors to manipulate data, with a general purpose managing processor to control the special purpose processors and perform utility functions. In this paper, the organization and use of these data manipulation processors is explored. Database machines are classified into single data manipulation processor systems, multiple disk-associated data manipulation processor systems, and multiple cache-associated processor systems. Examples of actual database machines are given for each category. Application types are classified into business, bibliographic search, and statistical analysis systems. A metric is developed to compare the performance of the categories of database machines with respect to the application types. Database machine performance for each category of database machines is compared for each type of application. It is shown that single processor systems are best for business applications; that disk-based multiple processor systems are best for statistical analysis applications. Therefore, the design of the organization of data manipulation processors is shown to be application-dependent.
- Research Organization:
- Lawrence Berkeley Laboratory (LBL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 6488893
- Report Number(s):
- LBL--12412; CONF-810467-1; ISBN: 978-0-89791-040-8
- Conference Information:
- Journal Name: SIGMOD '81: Proceedings of the 1981 ACM SIGMOD international conference on Management of data
- Country of Publication:
- United States
- Language:
- English
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