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 become more important than ever. The number of devices connected to the internet has already surpassed 8 billions and is expected to reach 30 billion in 2015. IoT, Service and network management systems and M2M protocols are becoming more complex by interconnecting different technologies and architectures across various software platforms. No single technology or architecture will be able to smoothly glue together such complex systems into a single network of all networks. New applications will be supported on these complex systems through upper layer middleware software platforms. These services will no longer be independent static sources of content, rather 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 that is capable of interfacing these services to the underlying network technologies. New services must be capable of receiving 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 smooth traffic flows in the network and avoid skewness behaviors. The scope of this workshop is to address the research and development efforts of the aforementioned various issues in the area of Internet of Things applications, Machine to Machine protocols and systems, intelligent service and network management in 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 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.