End-to-end Service Optimization and Control in Cloud-Integrated Networks

Jaime Llorca
Senior Research Scientist
Nokia Bell Labs at Holmdel, NJ
SERC 306
Wednesday, October 18, 2017 - 11:00
Distributed cloud networking builds on software-defined networking (SDN) and network functions virtualization (NFV) to enable the deployment of a wide range of services in the form of elastic software functions instantiated over general purpose hardware at distributed cloud locations, and interconnected by a programmable network fabric. Operators can then configure services or group of services with similar requirements as virtual network slices within a common infrastructure, reducing both capital and operational expenses. The cloud service distribution problem is to find the placement of service functions, the routing of network flows, and the associated allocation of cloud and network resources that meets service demands while minimizing the use of the physical infrastructure. I will present a network flow model that allows jointly optimizing the allocation of cloud and network resources for services with arbitrary function relationships, and any combination of unicast and multicast flows. Efficient algorithms for both static and dynamic versions of the problem will be presented. Simulation results in the context of NFV service chains and smart city services illustrate the significant efficiency improvements that can be obtained when optimizing services end-to-end over distributed cloud-integrated networks.