The goal of IPTComm is to bring together researchers working in emerging communications fields in order to discuss challenges and share results, and ultimately provide a solid foundation to support the progress of new services and communication paradigms. Promoting and addressing the ever changing technological landscape, the conference addresses timely topics related to Mobility, 5G Technologies, HOLO Computing, Networking Protocols for Blockchain-enabled applications, Smart Contracts, Software Defined Networking, Big Data, Information Centric Networks, new web-enabled technologies like WebRTC, Cloud-based real-time media processing, Internet of Things (IoT) and M2M systems. Part of IPTComm's unique focus is including novel work that addresses the applicability of these technologies to emergency services and other social services and to the reliability, security and performance of real-time telecommunications and data services.
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.
10月17日
2016
10月20日
2016
初稿录用通知日期
终稿截稿日期
注册截止日期
2017年09月25日 美国
2017 IP电信原理,系统和应用国际会议2014年09月30日 美国
2014国际IP通信原则,体系和应用会议
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