The advent of Software Defined Network (SDN) and Network Function Virtualization (NFV) redefines the concept of Internet of Things (IoT) to make it more compatible with next generation communication networks. The absolute random service demands of end users make the researchers from industry and academia to rearchitect the old network models and make it open, programmable and adaptive in nature in order to provide real time user centric service demands. The Internet of Softwarized Things (IoST) is a dynamic programable system of interrelated and interconnected digital machineries and computational devices with the ability to communicate informative data with out the intervention of human being. The emergence of cellular networks like 5G introduces services to cover all possible user to machine, machine to machine communication that provide the optimum QoS (Quality of Service) and QoE (Quality of Experience) to the end users. The openness in network architecture gives the TSPs (Telecomm Service Providers) and TNOs (Telecom Network Operators) huge flexibility to add, remove, update and modify any network services with no time. Uninterrupted high-quality network services with minimum latency is one of the key features of softwarized IoT in 5G will be aiming to deliver the same in the future day’s cellular networks.

This workshop is aiming to get original scientific contributions both in theoretical and experimental researches and test case models, detailed experience reports from experimental testbeds that will be extremely helpful in the upcoming tech revelations. Furthermore, additional focus will be given to areas related to the role of data mining and machine learning in modelling and deploying IoST. It aims to present the most important and relevant advances to overcome the challenges related to security, data analytics, and energy aware solutions in Internet of Things.

We seek original and high-quality submissions on, but not limited to, one or more of the following topics:

• APIs, protocols and algorithms for the management of softwarized IoT

• Low latency and Dynamic bandwidth allocation softwarized IoT

• Security Measurements in softwarized IoT

• Security in Network Slicing architectures

• Blockchain in distributed SDN in 5G & B5G

• AI/Machine learning for IoT

• Federated Learning for softwarized edge networks 5G & B5G

• Interpretable Machine Learning for softwarized networks in 5G & B5G

• (De-)composition of virtualized network and service functions

• Service Functions Chains (SFC) modeling, representation and management in 5G & B5G

• Network slicing and slice management in 5G & B5G

• Efficient network and service monitoring

• QoS/QoE-based management and control in softwarized networks

• Precision agriculture and softwarized IoT

• Debugging and introspection of softwarized networks

• Controller Placement Problems for softwarized networks in 5G & B5G

• Energy Efficient IoST deployments for 5G & B5G

• Intelligent Network Resource Allocation in 5G & B5G network

• Edge, Dew, Fog Computing for softwarized networks in 5G & B5G

• Network and service automation in 5G & B5G

• Algorithms for efficient orchestration in 5G & B5G