NFV-SDN 2020 - IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN 2020)

The IEEE NFV-SDN 2020 welcomes submission of high-quality full papers reporting original and novel research results that could influence the evolution and operation of NFV and SDN technologies. Topics of interest include, but not limited to, the following:
NFV and SDN Architectures, Infrastructure and Elements
- Emerging improvements including Network Slicing and the unikernel paradigm
- Impact of “open X”
- Improvements in design of forwarding elements, e.g. switches/routers, wireless systems
- Optimizing NFV infrastructures including hardware acceleration technologies
- Heterogeneous server platforms and the detailed element-level CPU/GPU/FPGA mapping of NFV functions
- SDN/NFV in recent and novel architecture paradigms such as Edge, Fog etc.
NFV and SDN Operations
- Dynamic license management, autonomics, machine learning, monitoring, resiliency, fault management and self-healing
- Network security and isolation impacts of virtualization technologies
- Advanced tools for automated design, deployment, validation and management
- Application of machine learning and big data analytics to manage to simplify deployment and operation of SDN/NFV networks
Performance Analysis and Optimization
- Costs of migration of application containers and workloads
- Data/control plane performance, interoperability and scalability studies
- Resource dimensioning and optimization (e.g. cloud-native design), workload isolation and tradeoffs
- Design guidelines for modularity, scalability, high availability and interoperability (e.g. container and micro services implementations)
Results and Evaluations in Application Scenarios
- Comparative studies on different virtualization technologies
- Usage scenarios such as SD-WAN, IoT, Smart Grid, Smart Cities, etc.
- Improvements in future communication infrastructure enabled by SDN and NFV including fixed and wireless access, public, private and hybrid clouds
- Social and regulatory impacts (e.g. network implications of data location and privacy)