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    <p><a href="http://cseweb.ucsd.edu/~snoeren/papers/lda-sigcomm09.pdf" rel="nofollow noreferrer" title="Every Microsecond Counts: Tracking Fine-Grain Latencies with a Lossy Difference Aggregator">A recent paper</a> might be of some use (and would also be much cheaper than hardware-based solutions). There are also ways of fairly accurately accounting for clock skew; the last time I seriously looked into one-way latency measurement research (a couple years ago), the most <em>accurate</em> technique was a <a href="http://an.kaist.ac.kr/~sbmoon/paper/intl-conf/1999-infocom-clock.pdf" rel="nofollow noreferrer" title="Estimation and Removal of Clock Skew from Network Delay Measurements">linear programming algorithm</a> by Sue Moon (with reference code conveniently available <a href="http://an.kaist.ac.kr/~sbmoon/1999-infocom-clock-synch/skew_lp.tgz" rel="nofollow noreferrer">here</a>), but without using some rather modern linear programming techniques, it's fairly impractical to do as an online algorithm; it's best just to record timestamps without doing any calculations periodically throughout the day, and then run the LP algorithm on the accumulated data afterwards. There were a few other techniques that were quick enough to be done on-line (including the <a href="ftp://ftp.ee.lbl.gov/papers/vp-clocks-sigmetrics98.ps.gz" rel="nofollow noreferrer" title="On Calibrating Measurements of Packet Transit Times">seminal paper</a> by Vern Paxson), but they were all much less accurate.</p>
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