Xref: utzoo comp.protocols.tcp-ip:2956 comp.dcom.lans:1206 Path: utzoo!utgpu!water!watmath!clyde!att-cb!att-ih!pacbell!ames!hc!hi!cyrus From: cyrus@hi.unm.edu (Tait Cyrus) Newsgroups: comp.protocols.tcp-ip,comp.dcom.lans Subject: computing network loads Keywords: load average Message-ID: <23564@hi.unm.edu> Date: 1 Apr 88 20:29:04 GMT Organization: U. of New Mexico, Albuquerque Lines: 43 I am looking for an equation that roughly computes the theoretical load on a network given only the following information: 1) time over which the load is to be computed, 2) the number of packets seen in that time, 3) the number of bytes seen in that time. Currently I am using something like: num_bytes / (MBYTES_PER_SEC * time) where I have arbitrarally picked MBYTES_PER_SEC to be 1 MegaBytes / sec. Given a 10MBit (1.25 MByte) channel, subtracting overhead for preambles, CRC bytes, collisions & the minimum time between packets, I came up with the VERY approximate # of 1 MByte/sec. I know that 1 Meg is a VERY magic number because there are many different media that the data can be traveling across which will effect this magic number. So, back to the question. Is this a good approximation? What values for MBYTES_PER_SEC should be used for the various medias, i.e. think wire, thin wire, broadband, fiber, etc.? I don't want to worry about distances between stations and the media between them, just a rough approximation. I have looked at the Blue Book to try to find a "nice" method for computing network loads, but I am having a hard time trying to come up with a better equation. Any help anyone could supply me (as far a clarification of what the Blue Book is saying and how to use that information) would be greatly appreciated. Thanks, -- @__________@ W. Tait Cyrus (505) 277-0806 /| /| University of New Mexico / | / | Dept of Electrical & Computer Engineering @__|_______@ | Parallel Processing Research Group (PPRG) | | | | UNM/LANL Hypercube Project | | hc | | Albuquerque, New Mexico 87131 | @.......|..@ | / | / e-mail: @/_________@/ cyrus@hc.dspo.gov