2016 Principles, Systems and Applications of IP Telecommunications (IPTComm)

Management and Resilience

• Network Function Virtualization (NFV)

• Service Function Chaining (SFC)

• Quality of Experience (QoE)

• Software Defined Networking (SDN) for IP communications networks

• Scalability, monitoring and management of large-scale IP communication systems.

• Traffic and Quality of Service (QoS) measurement of VoIP traffic.

• Energy consumption and energy management in IP communication systems.

• Benchmarking of large-scale IP communication systems.

• Effects of virtualization on quality of IP communication systems

Security

• Challenges in end-to-end security in the presence of middleboxes in managed networks

• Identity management, anonymity and privacy in IP communications.

• Forensics and diagnostics in IP communication systems.

• Overload control and denial of service detection and prevention.

• Middleboxes for trust and privacy in Internet communications.

The “Big Data” of IP communications networks

• Machine learning and analytics related to “Big Data” in IP communications networks

• Scalable architectures in analytics for IP communication networks.

• “Big Data” frameworks (Hadoop, Spark, for example) for IP telecommunications networks.

• Deep learning and active learning in IP communications networks.

Miscellaneous

• Open source development in IP communications.

• Research issues in vertical IP communication markets (e.g., privacy in the medical field, location in logistical field, etc.)

• Regulatory issues in IP communications.