[Announcements] IEEE NFV-SDN 2021 - Keynote Speakers

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                                    IEEE NFV-SDN 2021

      The 7th IEEE Conference on Network Functions Virtualization 
                             and Software-Defined Networking
                        November 9-11, 2021 – Heraklion, Greece
                          https://nfvsdn2021.ieee-nfvsdn.org/ <https://nfvsdn2021.ieee-nfvsdn.org/>
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It is our pleasure to announce three keynote speeches that will offerred at NFV-SDN 2021 by world-renowned professors and industry leaders. 
The detailed information are available online at https://nfvsdn2021.ieee-nfvsdn.org/program/keynote-speakers/ 


Keynote talk #1
Speaker: Dr. Georgios Gardikis, R&D Manager
Organzation: Space Hellas S.A., Greece
Title: Securing software-driven networks: threats and opportunities
Abstract: In addition to their obvious technical and business value, software-driven networks are accompanied by various side-effects, one of the most important of which is the drastic increase in the attack surface compared to legacy network infrastructures. At the same time, the agility and reconfigurability of NFV/SDN networks enable novel security control mechanisms, such as dynamic traffic steering and on-the-fly deployment of security appliances. The ambition of this keynote is to highlight the security-related threats and opportunities of software-driven networks and stimulate a discussion on the most promising research directions in the domain.


Keynote talk #2
Speaker: Zuqing Zhu, Professor in Electrical Engineering and Information Science
Organization: University of Science and Technology of China, Hefei, China
Title: Knowledge-defined Network Virtualization: When Programmable Data Plane meets Artificial Intelligence
Abstract: In this talk, we discuss recent advances on the network slicing technologies for effectively supporting emerging applications such as high-definition video streaming, virtual reality, remote surgery, etc, in future networks. Specifically, in order to satisfy the stringent quality-of-service (QoS) requirements of such applications, one needs innovation in at least three aspects, i.e., the data plane, virtualization layer, and control plane. For the data plane, we introduce the programmable data plane (PDP) techniques that can make packet processing and forwarding protocol-independent. Hence, PDP enables improved programmability, flexibility, and application-awareness in substrate networks, which are the fundamental elements of network slicing. The virtualization layer needs to virtualize, allocate and isolate the resources in the substrate network to build virtual network slices according to applications’ QoS demands. Here, we discuss the open-source platforms to make the virtualization layer work seamlessly with PDP. Finally, the control plane needs to be adaptive for dynamic slicing. Therefore, we consider how to implement a smart control plane by leveraging artificial intelligence (AI), which can analyze telemetry data from the data plane, and make smart and timely decisions to support various applications well.


Keynote talk #3
Speaker: Dr. Joan Triay, Network Architect and Manager, 
Organization: DOCOMO Euro-Labs
Title: NFV for 5G and beyond: current state and technology trends
Abstract: In this talk, we discuss recent advances in network slicing technologies for effectively supporting emerging applications such as high-definition video streaming, virtual reality, remote surgery, etc, in future networks. Specifically, in order to satisfy the stringent quality-of-service (QoS) requirements of such applications, one needs innovation in at least three aspects, i.e., the data plane, virtualization layer, and control plane. For the data plane, we introduce the programmable data plane (PDP) techniques that can make packet processing and forwarding protocol-independent. Hence, PDP enables improved programmability, flexibility, and application-awareness in substrate networks, which are the fundamental elements of network slicing. The virtualization layer needs to virtualize, allocate and isolate the resources in the substrate network to build virtual network slices according to applications’ QoS demands. Here, we discuss the open-source platforms to make the virtualization layer work seamlessly with PDP. Finally, the control plane needs to be adaptive for dynamic slicing. Therefore, we consider how to implement a smart control plane by leveraging artificial intelligence (AI), which can analyze telemetry data from the data plane, and make smart and timely decisions to support various applications well.




—
Assistant Professor
Department of Computer Science
Saint Louis University

ISE 234E 
220 North Grand Blvd.
St.Louis, MO 63103-2007


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