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SUMMARY:Optimizing multi-layered networks with long range dependent traffi
 c - Moshe Zukerman (City University of Hong Kong)
DTSTART:20120628T150000Z
DTEND:20120628T160000Z
UID:TALK38170@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:In recent years\, there have been many studies on research que
 stions related to reducing ICT energy consumption. The aim is to save ener
 gy\, improving network efficiency while at the same time to meet user perc
 eived quality of service requirements. This presentation will report on a 
 new multilayered network optimization approach where traffic between each 
 origin-destination (OD) pair follows Poisson Pareto burst process. This is
  an important step beyond previous studies that assumed deterministic traf
 fic demands because it enables the study of flow size dependent routing. A
 ccordingly\, we classify traffic according to size of flows with the purpo
 se to find the best route and technology/layer for each traffic stream  (c
 haracterized by its OD and flow size range) and best capacity assignments 
 on all virtual and physical links such that the overall network cost is mi
 nimized while meeting required grade of service. Given that the optimizati
 on is non-linear and given that the solution must be scalable to realistic
  size networks\, we use a heuristics based on shortest path in each layer 
 and fixed point iterations. We demonstrate that even for large networks\, 
 near optimal solutions is achievable in order of minutes. Validation of th
 e solutions will also be discussed.\nTo manage the vast amount of data ass
 ociated with large networks\, we use the Network Markup Language (Netml) w
 hich provides also a friendly user interface. The interface and the optimi
 zation have the potential to lead to a valuable network design tool for in
 dustry. Finally\, a video that demonstrates the optimization and the user 
 interface will be shown.\n\n
LOCATION:FW26\, Computer Laboratory\, William Gates Builiding
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