With the recent advancements in mobility, cloud computing, video and data centers, support of Internet of Things (IoT), Machine to Machine (M2M) as well as service and network management applications and algorithms are more important than ever. The number of devices connected to the internet has already surpassed 8 billion and is expected to reach 50 billion in 2020. IoT, service and network management systems and M2M protocols are becoming more complex due to the interconnection between different technologies and architectures across various software platforms. No single technology or architecture will be able to smoothly interface such complex systems into a unified network of all networks. New applications will be supported by these complex systems through hierarchical middleware software platforms. These services will no longer be independent static sources of content, but instead will have intelligent software to adapt those sources to varying network conditions, technologies, and platforms. This will be achieved through another intelligent layer of cognitive middleware, capable of interfacing these services to the underlying network technologies. New services must receive information about the network and adaptively tune their transport parameters, as well as bit-rates according to the underlying networking conditions/technologies. New services and contents will need to understand networking traffic parameters, and react accordingly in order to maintain uninterrupted traffic flows across the network and avoid ill-conditioned behaviors. The scope of this workshop is to address the research and development efforts of the aforementioned issues in the area of Internet of Things applications, Machine to Machine protocols and systems, intelligent service and network management for next generation networks. This includes services for collaboration among multiple entities and users in composite, integrated, and federated settings. In particular, we are interested in papers dealing with the state-of-the-art design and analysis, implementation and experimental results of cognitive and intelligent software agents/services and applications as well as novel architectures for intelligent content delivery.