Driven by the explosive growth in mobile devices and sensors, Internet of Things (IoT) is fast becoming the hottest technology in the service-oriented computing space. In particular, data from sensors and other devices is being increasingly used to not only take business decisions in varied domains (transportation, logistics, manufacturing, agriculture, to name a few), but these very devices are themselves being used as actuators to affect changes in their environment. All these actions are increasingly being modeled as services, which can be modeled and composed using traditional service-oriented computing principles. The scale, volume of data, number and variety of the services offered through billions of devices and the mobility of devices demand a relook at how service-oriented computing principles can be applied to IoT based systems. To that end, in this Special Track, we seek to present papers that investigate and discuss the interplay between data management, analytics, service-oriented computing, device and sensor technologies, and networking technologies. The scope of our Special Track consists of, but is not limited to, the following:

• IoT data aggregation and reduction
• Anomaly detection and data validation
• Continuous and intelligent monitoring systems
• Distributed and adaptive machine learning algorithms
• Online learning and stream mining
• Interaction between human and smart devices
• Light weight data encryption for IoT
• Secure and reliable data exchange with IoT devices
• IoT service modeling
• IoT service variability modeling
• IoT service composition and deployment
• IoT service discovery
• IoT middleware
• IoT service applications in domains such as transportation, logistics, manufacturing, agriculture, smart cities, smart grid, healthcare
• Service applications in mobile things, such as smartphones, smart watches, wearables
• AI and machine learning techniques applied to IoT service modeling and composition
• Network service modeling
• Network slicing applied to IoT services
• IoT data management
• IoT data analytics

• Submission Deadline: 12th August 2016
• Notification of Acceptance: 10th September 2016
• Final manuscript due: 25th September 2016

We invite high quality papers using the IEEE Computer Society proceedings format (two column, 10 point, single-spaced, US Letter, no margin smaller than one inch; see http://www.ieee.org/conferences_events/conferences/publishing/templates.html). We seek both full and short papers, with page limits of 8 pages and 4 pages, respectively. All papers will be reviewed by at least 3 technical committee members. Accepted papers will be published by IEEE (pending). You can submit the paper through EasyChair using this link: https://easychair.org/conferences/?conf=soca2016