A simulation model for assessing network capacity
Pages 1161 - 1169
References
[1]
Boggs, D. R. et al. 1988. Measured Capacity of an Ethemet: Myths and Reality. In Proceedings of the Sigcomm "88 Symposium. Association for Computing Machinery, New York, New York.
[2]
Bradner, S.O. 1991. Testing Multiprotocol Routers. Data Communications 20:2:71-86.
[3]
Bradner, S.O. 1992. Ethemet Bridges and Routers. Data Communications 21:3:58-69.
[4]
CACI. 1989. Network H.5~ User's Manual. California:CACI Products Company.
[5]
Edwards, G. 1992. Personal communication.
[6]
Freund, M. 1991. Sizing Up Your Network. LAN Technology 7:1:17-18.
[7]
Hindin, E.M. 1991. RISC Comes to Routers. Data Communications 20:7:43-48.
[8]
Joyce, E.j. 1989 A System for the 21st Century. Datamation 35:10:51-54.
[9]
Lancaster, S. 1992. Personal communication.
[10]
Molloy, M. 1992. Bridge/Router Tests Yield Mixed Results. Network Worm 9:22:19-43.
[11]
Pelnik, T.M. 1988. A Software Support Environment Software Productions Facility Sizing Model. WP- 88D0049, The MITRE Corporation, Houston, Texas.
[12]
Price, T. G. 1990. Space Station Level I/ii Change Request, Ground Systems/Software Production Facility (GS/SPF) Initial Configuration. NASA Johnson Space Center, Houston, Texas.
[13]
Quiat, B. 1991. Bridging the WAN Gap: An In-Depth Look at Four T1 Remote Bridges. Network Computing (April 1991):18-24.
[14]
Rickert, J. R. Jr. 1990. Evaluating MAC-Layer Bridges. Data Communications 19:5:117-122.
[15]
Salamone, S. 1990. The Need for LAN Benchmarks. Network World 7:37:51-74.
[16]
Salamone, S. 1991. Test Ranks Routers in Real-World Environment. Network World 8:21:41-52.
[17]
Salwen, H. et al. 1988. Examination of the Applicability of Router and Bridging Techniques. IEEE Network 2:1:77-80.
[18]
Stallings, W. 1990. Local Networks. 3rd ed. New York: Macmillan Publishing Company.
[19]
Van Norman, H.J. 1988. A User's Guide to Network Design Tools. Data Communications 17:4:43-48.
[20]
Wick, D. T. and Pelnik, T. M. 1991. A Software Support Environment Software Production Facility Sizing Model. WP-88D0049 Revision 1, The MITRE Corporation, Houston, Texas.
- A simulation model for assessing network capacity
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Published In
December 1993
1429 pages
ISBN:078031381X
DOI:10.1145/256563
Copyright © 1993 ACM.
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Published: 01 December 1993
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