Abstract
The Knowledge-Base Management Systems of the future will certainly require high performance hardware to cope with the substantial processing and data storage requirements. Many researchers have associated this “high performance hardware” with highly parallel computers (i.e., machines with large numbers of processing elements). In this paper we argue that this may not be the only choice. A computer with a single, high-performance processor and with massive amount of physical main memory, say on the order of tens of billions of bytes, may be especially well suited for some KBMS functions, and may vastly outperform parallel machines (with more limited memory). In this paper we outline the applications of such a machine, discussing its strengths and limitations.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
D. W. Clark, “Measurements of Dynamic List Structure Use in Lisp,” IEEE Transactions on Software Engineering, Vol. SE-5, Num. 1, January 1979, pp. 51–59.
R. E. Cullingford, Natural Language Processing: A Knowledge Engineering Approach, Totawa: Allanheld and Rowman, 1985. (In press)
D. J. DeWitt et al, “Implementation Techniques for Main Memory Database Systems,” Proc. SIGMOD 84, Boston, June 1984, pp. 1–8.
C. L. Forgy, “The OPS83 Report,” Department of Computer Science, Carnegie-Mellon University, May 1984.
H. Garcia-Molina, R. Lipton, and P. Honeyman, “A Massive Memory Database System,” Technical Report 314, Department of Electrical Engineering and Computer Science, Princeton University, May 1983.
H. Garcia-Molina, R. Lipton, and J. Valdes, “A Massive Memory Machine,” IEEE Transactions on Computers, Vol. C-33, Num. 5, May 1984, pp. 391–399.
Gray, J., “Notes On Database Operating Systems”, in Operating Systems: An Advanced Course, R. Bayer, R. M. Graham and G. Seegmuller (eds.), pp. 393–481, Springer-Verlag, 1979.
J. Gray, “What Difficulties Are Left in Implementing Database Systems”, Invited Talk at SIGMOD Conference, San Jose, CA., May 1983.
Greenberg M., “RETINAS User’s Manual”, Internal report, Robotics Institute, Carnegie-Mellon University, Pittsburgh PA, 1983.
R. Hagmann, “A Crash Recovery Scheme for a Memory Resident Database System,” Unpublished manuscript, July 1984.
P. Proctor (ed.), Longman Dictionary of Contemporary English, Bath, UK: Longman Group, Ltd. 1981
D. McAllester, “An Outlook on Truth Maintenance,” MIT AITR-551, August 1980.
D. V. McDermott and J. Doyle, “Non-Monotonic Logic I,” Artificial Intelligence, Vol. 13, 1980
D. Rosenkrantz, “Dynamic Database Dumping,” Proceedings 1978 SIGMOD Conference, May 1978.
Schank, R., Conceptual Information Processing, North-Holland, Amsterdam, 1975.
K. Salem and H. Garcia-Molina, “Disk Striping,” Technical Report 332, Department of Electrical Engineering and Computer Science, Princeton University, December 1984.
Shortliffe, E. H., “MYCIN: Computer-based Medical Consultations”, American Elsevier, New York, 1976.
D. P. Siewiorek and R. S. Swarz, The Theory and Practice of Reliable System Design, Digital Press, 1982.
D. Waterman and F. Hayes-Roth (Editors), Pattern Directed Inference Systems, Academic Press, New York, 1978.
F. G. Withington, “Winners and Losers in the Fifth Generation,” Datamation, December 1983, pp. 193–209. (These forecasts also appear in “Future Information Processing Technology, 1983,” Institute for Computer Sciences and Technology of the LINE MISSING IN ORIGINAL FILE.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1986 Springer-Verlag
About this chapter
Cite this chapter
Cullingford, R., Garcia-Molina, H., Lipton, R. (1986). The Role of Massive Memory In Knowledge-Base Management Systems. In: Brodie, M.L., Mylopoulos, J. (eds) On Knowledge Base Management Systems. Topics in Information Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4980-1_42
Download citation
DOI: https://doi.org/10.1007/978-1-4612-4980-1_42
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-9383-5
Online ISBN: 978-1-4612-4980-1
eBook Packages: Springer Book Archive