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SUMMARY: Leveraging over-provisioned WANs for next-generation services - R
 achee Singh
DTSTART:20210610T140000Z
DTEND:20210610T150000Z
UID:TALK160828@talks.cam.ac.uk
CONTACT:Srinivasan Keshav
DESCRIPTION:The last decade has seen a large-scale commercialization of cl
 oud computing and the emergence of global cloud providers. Cloud providers
  have rapidly expanded their datacenter deployments\, network equipment an
 d backbone capacity\, preparing their infrastructure to meet the growing c
 lient demands. In this talk\, I will re-examine the design and operation c
 hoices made by cloud providers in this phase of exponential growth using a
  cross-layer empirical analysis of the wide-area network (WAN) of a large 
 commercial cloud provider. First\, I will demonstrate how the knowledge of
  optical signal quality can enable traffic engineering systems to harness 
 75% more capacity from 80% of the optical wavelengths in the cloud backbon
 e. Second\, I will present mechanisms that minimize the hardware costs of 
 provisioning long-haul WAN capacity by optically bypassing network hops wh
 ere conversion of signals from optical to electrical domain is unnecessary
  and uneconomical. Identifying and fixing these inefficiencies in the oper
 ation of today's cloud networks is crucial for enabling next-generation cl
 oud services.\n\nBio:\n\nRachee Singh (http://www.racheesingh.com/) is a s
 enior researcher in the office of the CTO at Azure for Operators. Before t
 his\, she was a researcher in the Mobility and Networking group of Microso
 ft Research\, Redmond. Her research interests are in computer networking w
 ith a focus on wide area network performance and monitoring. She has a PhD
  in Computer Science from the University of Massachusetts\, Amherst and is
  a recipient of the Google PhD fellowship in Systems and Networking. In a 
 previous life\, she developed routing protocol features for Ethernet switc
 hes at Arista Networks.\n
LOCATION:https://cl-cam-ac-uk.zoom.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzR
 TOUUxY3Q4QT09&from=addon
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