SFCSim: a network function virtualization resource allocation simulation platform

As a novel network architecture, network function virtualization greatly improves the flexibility of service deployment but also increases the complexity of network function virtualization resource allocation (NFV-RA). Many scholars have studied the above problems and put forward corresponding schemes. These schemes are often individually designed and are difficult to compare. A general and efficient simulation platform for the NFV-RA problem is conducive to integration, comparison and analysis of these schemes and speeds up research progress. This paper presents a general simulation platform SFCSim for NFV-RA. SFCSim adopts the discrete-time event scheduling engine, which can support the simulation of static and dynamic deployment of service function chain, service migration, mobility management and other scenarios. Finally, a load-balancing shortest path and three heuristic embedding algorithms are implemented in the platform for the service function chain embedding problem can be used as the benchmark algorithm, and SFCSim is fully compared with the Alevin to verify the performance of the platform