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SUMMARY:Optimizing Cost and Performance in Online Service Provider Network
 s
DTSTART:20110408T103000
DTSTAMP:20260407T050941Z
UID:4430208f0f111302d1aea234e08cadcdba54149b9b68148626f9dc08
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Y. Charlie Hu\, Purdue University\nTo satisfy global dem
 and\, an online services providers (OSPs) such as Google operates a networ
 k of geographically dispersed data centers that connects with many Interne
 t service providers (ISPs). Two key considerations for the OSP are the cos
 t and the performance of delivering traffic to its millions of users. We p
 resent the first traffic engineering system for OSPs which jointly optimiz
 es the cost and the performance of delivering traffic from an OSP network 
 to its users. Our system is based on two key techniques. First\, it uses a
  novel route-injection mechanism to measure the performance of alternative
  paths that are not being currently used\, without disturbing current traf
 fic. Second\, based on the real-time cost\, performance\, traffic\, and li
 nk capacity information\, it computes the optimal cost vs. performance cur
 ve for the OSP where each point on the curve represents a potential operat
 ing point for the OSP. The OSP can then pick the operating point that repr
 esents the desired cost-performance trade-off. Our trace-driven evaluation
  in a large OSP with 11 data centers shows that our system can reduce the 
 OSP's traffic cost by 40% without any increase in path latency. This is a 
 joint work with Microsoft Research.
LOCATION:BC 03 https://plan.epfl.ch/?room==BC%2003
STATUS:CONFIRMED
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