IEEE MSN 2024 Workshop on 8th Network Softwarization Techniques for IoT Application, SoftIoT 2024

Workshop Organizers:

General Chairs:

Dr. Haotong Cao
College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, China
Email: haotong.cao@njupt.edu.cn

Dr. Ye Liu
School of Computer Science and Engineering, Macau University of Science and Technology, Macau SAR, China
Nanjing University of Posts and Telecommunications, China Email: liuye@must.edu.cn

Prof. Feng Tian
College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, China
Nanjing University of Posts and Telecommunications, China Email: tianf@njupt.edu.cn

TPC Chairs:

Dr. Zhi Lin
College of Electronic Engineering, National University of Defense Technology, China
Email: linzhi945@163.com

Dr. Anish Jindal
School of Computer Science and Electronic Engineering, University of Essex, U.K.
Email: a.jindal@essex.ac.uk

Short Biography of Organizers:

Haotong Cao (Member, IEEE, Senior Member, CIC) received the B.S. Degree in Communication Engineering from Nanjing University of Posts and Telecommunications (NJUPT) in 2015. He received the Ph.D. Degree from NJUPT, China, in 2020. He was a visiting scholar of Loughborough University, U.K. in 2017. He was the PostDoc in the Hong Kong Polytechnic University, Hong Kong SAR, China, from 2020to 2023. He is currently with Nanjing University of Posts and Telecommunications, China. He has served as the TPC member of multiple IEEE conferences, such as IEEE ICC, IEEE Globecom. He has published multiple technical papers since 2016, such as IEEE TII, IEEE TITS, IEEE IoT Journal, IEEE TVT, IEEE TNSM, IEEE TNSE, IEEE NETWORK, IEEE CL, IEEE WCL, (Elsevier) Computer Networks, (Elsevier) Computer Communications, IEEE INFOCOM, IEEE ICC and IEEE Globecom. His research interests include 6G networks, SDN, NFV, network virtualization, convex optimization, physical layer security, UAV.

 

Ye Liu (Member, IEEE) received M.S. and Ph.D. degrees in electronic science and engineering from Southeast University, Nanjing, Nanjing, China, in 2013 and 2018, respectively. He was a Visiting Scholar with Montana State University, Bozeman, MT, the USA, from October 2014 to October 2015. He was a visiting Ph.D. Student from February 2017 to January 2018 with the Networked Embedded Systems Group, RISE Swedish Institute of Computer Science. He is currently a Postdoc Research Fellow with Macau University of Science and Technology. He has authored or co-authored papers in several prestigious journals and conferences, such as the IEEE IEM, IEEE ComMag, IEEE NetMag, IEEE IoTJ, ACM TECS, ACM TOSN, INFOCOM, ICNP, and EWSN. His current research interests include wireless sensor networks, energy harvesting systems, and mobile crowdsensing. Dr. Liu was awarded first place in the EWSN Dependability Competition in 2019 and the Macao Young Scholar in 2021.

 

Feng Tian (Member, IEEE) received the Ph.D. degree from the Nanjing University of Posts and Telecommunications (NJUPT), Nanjing, China, in 2008. From 2013 to 2015, he was a Visiting Scholar with Virginia Polytechnic Institute and State University, Blacksburg, VA, USA. He is currently a Professor with NJUPT, Nanjing, China. His research interest focuses on performance optimization and algorithm design for wireless networks, cognitive radio networks, heterogeneous networks and big data driven optimization for wireless networks.

 

Zhi Lin (Member, IEEE) received the B.E. and M.E. degrees in information and communication engineering from the PLA University of Science and Technology and the Ph.D. degree in electronic science and technology from the Army Engineering University of PLA, Nanjing, China, in 2013, 2016, and 2020, respectively. From March 2019 to June 2020, he was a visiting Ph.D. student with the Department of Electrical and Computer Engineering, McGill University, Montreal, Canada. He is currently an Associate Professor with the College of Electronic Engineering, National University of Defense Technology, Hefei, China. His research interests include array signal processing, machine learning, physical layer security, reconfigurable intelligent surface and satellite-aerial-terrestrial integrated networks. He was the Satellite Communications Symposium Co-Chair of IEEE WCSP 2022 and TPC members of IEEE flagship conferences, including IEEE ICC, Globecom, Infocom, etc. He is on the Editorial Board of Wireless Communications and Mobile Computing. Dr. Lin was listed in the World's Top 2% Scientists identified by Stanford University in 2022. He was the recipient of the Best Ph.D. Thesis Award of Chinese Institute of Electronics in 2022 and the Macao Young Scholars Fellowship in 2022.

 

Anish Jindal (Member, IEEE) is working as a Lecturer in the School of Computer Science and Electronic Engineering (CSEE), University of Essex since Mar 2020. Prior to this, he worked as a senior research associate at the School of Computing & Communications, Lancaster University, UK from Oct. 2018 to Mar. 2020. He completed his Ph.D., M.Engg. and B. Tech. degrees in computer science engineering in 2018, 2014, and 2012, respectively. He is the recipient of the Outstanding Ph.D. Dissertation Award, 2019 from the IEEE Technical Committee on Scalable Computing (TCSC) and conferred with the IEEE Communication Society's Outstanding Young Researcher Award for Europe, Middle East, and Africa (EMEA) Region, 2019. He has also been a visiting researcher to OFFIS - Institute for Information Technology, Germany in 2019. He has served as General co-chair, TPC co-chair, TPC member, Publicity chair and Session chair of various reputed conferences and workshops including IEEE ICC, IEEE WoWMoM, IEEE INFOCOM and IEEE GLOBECOM. His research interests are in the areas of smart cities, data analytics, artificial intelligence, cyber-physical systems, wireless networks, and security.

 

A Brief Description of Workshop:

        The softwarization of networks is enabled by the SDN (Software Defined Networking), NV (Network Virtualization), and NFV (Network Function Virtualization) paradigms, and offers many advantages and convenience for network operators, service providers and datacenter providers. By adopting network softwarization techniques, more and more novel network services and novel applications can be operated and deployed. Internet of Things (IoT) has emerged as a revolution for the development of futuristic network services and applications, especially in current 5G and future 6G networks. It is one of the hottest trends in technology. IoT is transforming our future by interconnecting everything: humans, vehicles, appliances, utilities, infrastructures, street lights and anything through an intelligent connection. The evolution of IoT has been progressively adopted by various organizations and industrial communities. In IoT environment, the huge amount of data and resources requested by various smart devices and humans can be collected and investigated in an intelligent manner in order to improvise the decision making. In IoT environment, the huge amount of data and resources requested by various smart devices and humans can be collected and investigated in an intelligent manner in order to improvise the decision making. Hence, there exists a great need of managing these data and resources in an efficient manner.

        Given the strong interest in both industry and academia in the softwarization of telecommunication networks and cloud computing providers, this workshop aims at adopting network softwarization techniques for IoT applications. There are many interesting challenges currently requiring to be addressed by the research community, which aims at efficiently managing softwarized networks for IoT applications. Topics of interest for this workshop, include, but are not limited to:

        Topics of interest for this workshop, include, but are not limited to:

          • Management of SDIs (Software-Defined Infrastructures) for IoT application

          • APIs and management protocols for IoT application

          • Virtualization of resources, services and functions in SDN and NFV for IoT application

          • Management of software-defined datacenters for IoT application

          • Efficient management of cloud computing infrastructures for IoT application

          • Resource management of SDN- or NFV-based systems for IoT application

          • Network slicing for IoT application

          • SDN control plane optimizations for IoT application

          • Network softwarization for IoT application

          • Softwarized edge cloud infrastructures for IoT application

          • Network management at the edge for IoT application

          • Service Function Chains (SFCs) modeling and representation for IoT application

          • Dynamic migration of network functions in SDN or NFV-based systems for IoT application

          • Efficient network and service monitoring of SDN or NFV for IoT application

          • Dynamic resource scaling based on user mobility in SDN- and NFV-based systems for IoT
            application

          • QoS/QoE management and control in softwarized networks for IoT application

          • Applying Blockchain technologies in softwarized networks for IoT application

          • Integrating AI and DL technologies in resource management in softwarized networks for IoT
            application

Planned Format of the workshop:

        The workshop will be presented in the forms of keynote, panel discussion and technical sessions. We show two planned formats below. One is the full-day format, the other is the half-day format.

        Duration of the workshop: Full-Day

        Tentative Schedule:
        09:00-10:00 am: SoftIoT - Keynote;
        10:00-10:30 am: Networking Break;
        10:30-12:00 am: SoftIoT - Software Defined Networking for Internet of Things Application;
        12:00-12:30 am: Panel Discussion;
        12:00-14:00 pm: Lunch Break;
        14:00-15:30 pm: SoftIoT - Network Virtualization and Network Function Virtualization for Internet of Things Application;
        15:30-16:00 pm: Networking Break;
        16:00-17:30 pm: SoftIoT - Futuristic Network Technologies for Internet of Things Application.

        Duration of the workshop: Half-Day

        Tentative Schedule:
        08:00-09:00 am: SoftIoT - Keynote;
        09:00-10:00 am: SoftIoT - Software Defined Networking for Internet of Things Application;
        10:00-10:10 pm: Networking Break;
        10:10-11:30 pm: SoftIoT - Network Virtualization and Network Function Virtualization for Internet of Things Application;
        11:30-12:00 am: Panel Discussion;

        Number of referred papers: 10-15

        Hot Topic Sessions:
        SoftIoT - Keynote;
        SoftIoT - Software Defined Networking for Internet of Things Application;
        SoftIoT - Network Virtualization and Network Function Virtualization for Internet of Things Application;

        Keynotes: Prof. F. Richard Yu, Carleton University, Canada.

Technical Program Committee Members:

        Joel J. P. C. Rodrigues (Inatel, Brazil)

        Mianxiong Dong (Muroran Institute of Technology, Japan)

        Gan Zheng (Loughborough University, U.K.)

        Jun Zhang (Hong Kong Polytechnic University, Hong Kong SAR, China)

        Yongxu Zhu (London South Bank University, U.K.)

        Sudeep Tanwar (Nirma University, India)

        Qi Zhang (Nanjing University of Posts and Telecommunications, China)

        Amit Dua (Birla Institute of Technology and Science, India)

        Syed Hassan Ahmed (WMA Communications, USA)

        Haipeng Yao (Beijing University of Posts and Telecommunications, China)

        Rong Chai (Chongqing University of Posts and Telecommunications, China)

        Qin Wang (Nanjing University of Posts and Telecommunications, China)

        Peiying Zhang (Beijing University of Posts and Telecommunications, China)

        Yiyang Ni (Jiangsu Second Normal University, China)

        Lei Liu (Xi'dian University, China)

A Preliminary Call for Papers:

        The softwarization of networks is enabled by the SDN (Software Defined Networking), NV (Network Virtualization), and NFV (Network Function Virtualization) paradigms, and offers many advantages and convenience for network operators, service providers and datacenter providers. By adopting network softwarization techniques, more and more novel network services and novel applications can be operated and deployed. Internet of Things (IoT) has emerged as a revolution for the development of futuristic network services and applications, especially in current 5G and future 6G networks. It is one of the hottest trends in technology. IoT is transforming our future by interconnecting everything: humans, vehicles, appliances, utilities, infrastructures, street lights and anything through an intelligent connection. The evolution of IoT has been progressively adopted by various organizations and industrial communities. In IoT environment, the huge amount of data and resources requested by various smart devices and humans can be collected and investigated in an intelligent manner in order to improvise the decision making. Hence, there exists a great need of managing these data and resources in an efficient manner.

        Given the strong interest in both industry and academia in the softwarization of telecommunication networks and cloud computing providers, this workshop aims at adopting network softwarization techniques for IoT applications. There are many interesting challenges currently requiring to be addressed by the research community, which aims at efficiently managing softwarized networks for IoT applications.

        Topics of interest for this workshop, include, but are not limited to:

          • Management of SDIs (Software-Defined Infrastructures) for IoT application

          • APIs and management protocols for IoT application

          • Virtualization of resources, services and functions in SDN and NFV for IoT application

          • Management of software-defined datacenters for IoT application

          • Efficient management of cloud computing infrastructures for IoT application

          • Resource management of SDN- or NFV-based systems for IoT application

          • Network slicing for IoT application

          • SDN control plane optimizations for IoT application

          • Network softwarization for IoT application

          • Softwarized edge cloud infrastructures for IoT application

          • Network management at the edge for IoT application

          • Service Function Chains (SFCs) modeling and representation for IoT application

          • Dynamic migration of network functions in SDN or NFV-based systems for IoT application

          • Efficient network and service monitoring of SDN or NFV for IoT application

          • Dynamic resource scaling based on user mobility in SDN- and NFV-based systems for IoT
             application

          • QoS/QoE management and control in softwarized networks for IoT application

          • Applying Blockchain technologies in softwarized networks for IoT application

          • Integrating AI and DL technologies in resource management in softwarized networks for IoT
             application

Paper Submission Guidelines:

        Papers submitted to the workshop should be written in English conforming to the IEEE 2-column US-letter style IEEE Conference Template and submitted in pdf format. The paper should be submitted through EasyChair. Prospective authors are invited to submit full papers up to 6 pages (Long Papers, including tables, figure and references) in length. Accepted and presented papers will be included into the IEEE explore. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers will be removed from the digital libraries of IEEE after the conference.

Important dates:

• Oct. 10, 2024

  Paper Submission Deadline

• Oct. 24, 2024

  Paper Acceptance Notification

• Oct. 30, 2024

  Camera-Ready Paper submission Deadline

• Dec. 20-22, 2024

  Conference Date