ACM Home Page
Please provide us with feedback. Feedback
Distributed systems
Full text PdfPdf (3.52 MB)
Source
Communications of the ACM archive
Volume 28 ,  Issue 11  (November 1985) table of contents
Special issue: computing in the frontiers of science and engineering
Pages: 1200 - 1213  
Year of Publication: 1985
ISSN:0001-0782
Author
Leonard Kleinrock  UCLA, Los Angeles, CA
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 54,   Citation Count: 13
Additional Information:

abstract   references   cited by   index terms   review   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/4547.4552
What is a DOI?

ABSTRACT

Growth of distributed systems has attained unstoppable momentum. If we better understood how to think about, analyze, and design distributed systems, we could direct their implementation with more confidence.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Amdahl, CM. Validity of the single processor approach to achieving large scale computing capabilities. In Proceedings of AFIPS, Vol. 30. Thompson, Washington, DC., 1967, pp. 483-485.
 
2
Belghith, A.. and Kleinrock, L. Analysis of the number of occupied processors in a multi-processing system. UCLA CSD Rep. 650027, Computer Science Dept., Univ. of California, Los Angeles, Aug. 1985.
 
3
Denning, P.J. Parallel computation. Am. Sci. (July-Aug. 1985).
4
 
5
Ercegovac, M., and Lang, T. General approaches for achieving high speed computations. In Supercomputers, S. Fernbach, Ed. North- Holland, Amsterdam. To be published.
 
6
Gerla, M., and Kleinrock, L. Flow control protocols. In Conrpurer Nelwork Archilectures, Paul Green, Ed. Plenum, New York, 1962. pp. 361-412.
 
7
Grosch, H.A. High speed arithmetic: The digital computer as a research tool. 1, Opt. Sot. Am. 43,4 (Apr. 1953).
 
8
Grossberg, S. Studies of the Mind and Brain; Neural Principles of Leaming, Percepfion, Developmenf Cognition and Motor Control. Reidel, Hingham, Mass.. 1962.
 
9
Hwang, K. Multiprocessor supercomputers for scientific/engineering applications. (June 1985), 57-73.
 
10
 
11
Kleinrock. L. Queueing Systems, Volume 2: Computer Applicafions, Chap. 4. Wiley-Interscience, New York, 1976.
 
12
Kleinrock, L. On flow control in computer networks. In IEEE Proceedings of the Conference in Communication. Vol. 2, IEEE. New York, June 1976. pp. 27.2.1-27.2.5.
 
13
Kleinrock, L. On the theory of distributed processing. In Proceedings of the 22nd Annual Aflerton Conference on Communication, Control and Computing, Univ. of Illinois, Monticello, Oct. 1964, pp. 60-70.
 
14
Kuck. D. et al. The effects of program restructuring, algorithm change and architecture choice on program. In Proceedings of the Inlernafional Conference on Parallel Processing, Aug. 1984, pp. 129- 136.
 
15
Minsky, M., and Papert, S. On some associative, parallel and analog computations. In Associative Information Technologies, E.J. Jacks, Ed. Elsevier North Holland, New York. 1971.
 
16
Patton, C.P. Microprocessors: Architecture and applications. IEEE Compul. Msg. IS, 6 {June 1965). 29-40.
 
17
Schneck et al. Parallel processor programs in the federal government. IEEE Comput. Msg. 18, 6 (June 1965), 43-56.
 
18
 
19
 
20
Tsetlin. M.L. Automalon Theory and Modeling of Biological Sysfems. Academic Press, New York, 1973.
 
21
Yemini, Y. A statistical mechanics of distributed resource sharing mechanisms. In Proceedings of INFOCOM 83, 1963, pp. 531-539.

CITED BY  13


REVIEW

"Samuel T. Chanson : Reviewer"

Based on the vast experience in the design, development, and use of distributed computing systems, the author presents his perception of many of the important issues and problem areas related to the efficient usage and future development of such  more...