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Ming Zhang

Ming Zhang is a Senior researcher in the Mobility and Networking group at Microsoft Research, where he focuses on datacenter and wide-area networking. He creates cutting-edge technologies that power Microsoft's massive cloud networks. His research is published in leading systems and networking conferences including SIGCOMM, NSDI, OSDI, and MobiSys. His work on MobiPerf won the Open Internet App Award and People's Choice App Award in FCC Open Internet Challenge. He received his Ph.D. in Computer Science from Princeton University in 2005 and his B.S. in Computer Science from Nanjing University in 1999.

Recent Projects:

  • Everflow: is one of the first network telemetry systems that provide scalable and flexible access to packet-level information in large datacenter networks.
  • DCQCN: is an end-to-end congestion control scheme for high performance RDMA deployments in IP-routed datacenters over lossless Ethernet fabric.
  • Network State Service (NSS): a service that manages Azure datacenter and wide-area network state. It serves as the foundation of multiple Azure network management applications.
  • Duet: a switch-based load balancer that offers 10x improvement in throughput and latency compared to state-of-the-art software load balancer at no extra hardware cost.
  • SWAN: a system that boosts the utilization of Azure inter-datacenter networks by centrally controlling traffic sending rate and routing based on current traffic demand.
  • NetPilot: a system that achieves fast, safe mitigation of common network failures by automatically deactivating or restarting offending devices.

Professional Service:




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