Ethereal-users: Re: [Ethereal-users] Ethereal Top Talkers - Other reporting info?
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From: "Ronnie Sahlberg" <ronnie_sahlberg@xxxxxxxxxxxxxx>
Date: Wed, 22 Jan 2003 15:21:39 +1100
From: "Ronnie Sahlberg" Subject: Re: [Ethereal-users] Ethereal Top Talkers - Other reporting info? > From Spamcontrol2: ... > ACKs of segments we have not seen, FirstSegmentAfter a retransmission etc This should have been FirstSegment After a lost segment. I.e. it will tell you, "Previous Segment was lost" > > I still would like to be able to place the response time fields within the > > summary/packet list for quicker reference as I scan a trace (it will slow > me > > down otherwise, and I'm usually not looking for a particular response > time). > > There's no way to do this using the Preferences->Columns dialog? No, but it could be added easily. I might add an option to put these values from the Reply packets in the INFO part of the packet list. > > > > And, from what I can tell there's no easy way to measure response-to-call > times > > (what I've been calling "client idle times", though I know that's a bit > > misleading), at least with NFS/RPC and CIFS, correct? Ah, when reading your mail again I now understand that you did mean response-to-call and it was not just a typo. Hm. interesting idea. However, with NFS and CIFS you often have multiple overlapping requests at the same time even for the same session, which would make it "difficult" to come up with a good semantic on how to describe this idle time in a way that makes sense. Of course, one could filter out a 10 second interval of the capture and measure the RTT statistics over that, then multiply the Average RTT for a call with the number of such calls and add it all up. But with asynchronous requests, what would the value mean? Aggregated application RTT during these 10 seconds might be 30seconds, just meaning that on average there were 3 commands in flight between client and server. Would that be good or bad numbers? How to interpret it? Would 30seconds mean thet truput was very good or would it mean that only 3 commands in flight at any one time is capping performance and the client should use 5 asynchronous calls instead? It would be difficult to parse thisd data in a meaningful way. The numbers would also be dependant on where in the network the capture was taken. If the RTT mainly consists of network latency (not very likely for interesting networks, but anyway) then the values would be vastly different if the capture was taken close to the server instead of close to the client. Hmm. this needs a lot of thought. But it would be useful. If you can come up with semantics on how this would work and be calculated / presented in a way that makes sense, then i would be happy to try to implement it. We need a discussion on what data to measure, how to calculate it and how to present it in a meaningful way (and not just as a pretty picture) Maybe something like: Divide the capture file intu intervals of length x ms. x can be choosen from 1 ms up to 100 s? For each such interval, calculate * number of commands that started in that interval. i.e. number of calls we saw. * number of commands that completed in that interval i.e. number of responses we saw. * total number of commands that were either started, ongoing or completed in the interval. i.e. total number of commands that were either fully or partially in flight during either the entire or a part of the interval. * aggregated time for the commands above. i.e. a command that was started and completed inside the interval would add smb.time to the aggregated time. a command that was started before this interval but completes after the interval would add the entire interval length to the aggregated time. etc. * NAT: normalized aggregate time, ie the aggregated time from above divided with the measurement interval. this may then tell us something similar to how many asynchronous commands are in flight at a given time. The NAT value could then be eyeballed from a table where each interval is one line, or it could be fed into say gnuplot or something. Maybe the NAT value could be useful in analysis? I guess a single threaded client with only one single command in flight at a time would show up as (if interval was choosen short enough) as 1 1 1 0 0 0 0 0 0 ... 0 1 1 1 .. alternating sequences of 1 and 0. where wou could look at its "idle time" or duty cycle by just watching how often the 0s and 1s changes. I think however that for more realistic and multithreaded clients it may be more difficult to interpret the NAT data. Maybe it could give useful information, like how the average "load"/"command queue length"/"maxmpxct useage" or what you want to call it changes over time. ? Can you come up with a description on what and how to measure idle-time / work-time so we can start experimenting on an implementation? best regards ronnie sahlberg
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