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SUMMARY:IC Colloquium : Finding Datacenter Software Tail Latency
DTSTART:20171016T161500
DTEND:20171016T173000
DTSTAMP:20260408T034934Z
UID:7db0ecf869547fae97d026357b4f754015e575033831e6fcfe8ce955
CATEGORIES:Conferences - Seminars
DESCRIPTION:By : Richard L. Sites - Invited Professor within LABOS\nVideo 
 of his talk\n\nAbstract :\nDatacenter computers are the other half of cell
  phones -- the anonymous servers somewhere in the world that make every ce
 ll phone browser\, app\, and operation work. Unlike traditional throughput
 -oriented computing\, datacenter software is measured by user-facing trans
 action latency. For a given service\, a histogram of the latencies usually
  has a long tail of very slow responses\, with the 99th percentile latency
  10x or more of the median latency. The "interesting" slow transactions ar
 e only slow under live load during the busiest hour of the day\; they are 
 fast if run again. They cannot be reproduced during offline load testing\,
  and their underlying causes remain a mystery for months or years\, hurtin
 g overall datacenter capacity. As an industry\, we have very poor tools fo
 r observing and therefore fixing the unknown sources of interference.\n \
 nThe talk discusses several low-overhead tools for identifying where all t
 he transaction wallclock time goes in such complex software. Versions of t
 hese have been in production use at Google for a few years.\n\nBio :\nDick
  Sites is currently an Invited Professor at EPFL Lausanne\, teaching a gra
 duate class on Datacenter Software Dynamics. In 2016 he taught an earlier 
 version at the National University of Singapore. Prior to that\, he worked
  at Google\, Adobe Systems\, Digital Equipment Corporation\, Hewlett-Packa
 rd\, Burroughs\, and IBM. He also taught Computer Science at UC/San Diego 
 in the 1970s. His accomplishments include co-architecting the DEC Alpha co
 mputers and building computer performance monitoring and tracing tools at 
 the above companies. At Google\, this included understanding CPU\, disk\, 
 and network performance anomalies. Dr. Sites holds a PhD in Computer Scien
 ce from Stanford and a BS in Mathematics from MIT. He also attended the Ma
 ster's program in Computer Science at UNC Chapel Hill. He holds 39 patents
  and is a member of the U.S. National Academy of Engineering.
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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