Realizing Network Function Virtualization: What networking can learn from the cloud and vice-versa

Prof. Sylvia Ratnasamy, University of California, Berkeley, USA.


By moving advanced network functions from proprietary hardware to software, Network Function Virtualization (NFV) promises to bring the advantages of cloud computing to network traffic processing. Network carrier companies have enthusiastically embraced the NFV vision as a means to reducing costs and enabling new revenue-generating services. However, despite intense carrier interest and widespread industry efforts, the pace of deployment of NFV services has been glacial. The heart of the problem is that solutions from traditional cloud contexts often fail to meet the stringent performance and availability requirements of carrier workloads leading to complex efforts at retrofitting and/or optimizing existing system designs for the NFV context.  In this talk, I will argue that we need to approach NFV from a clean-slate and describe novel system architecture for NFV that is capable of achieving both high performance and rich programmability. 


Sylvia Ratnasamy is an Assistant Professor of Computer Science at the University of California, Berkeley, whose work focuses on the design and implementation of networked systems.

She received her PhD in Computer Science from U.C.Berkeley in 2002.

She is a recipient of the ACM Grace Murray Hopper award, the ACM SIGCOMM Test-of-Time award, the ACM SIGCOMM Rising Star award and the Alfred P. Sloan research fellowship.