* Algorithms and Computational Infrastructure to Support Real Time Data Analytics

* Case Studies & Applications in Real Time Data Analytics

In addition to high-quality theoretical papers, we solicit high-quality papers pertaining to the above application domains. We invite original submissions pertaining  to  all  aspects  of  ORC technology and especially those that are well aligned with the 2017 theme. 
These include, but are not limited to: 

* Programming and system engineering: real-time programming challenges, ORC paradigms, object/component models, languages, synchronous languages, 

* Embedded .NET, RT RMI, RT Java, UML, model-maintenance, system of systems, time-predictable systems and hardware. 

* Distributed computing and communication infrastructures: real-time communication, networked platforms, protocols, Internet QoS, peer-to-peer computing, sensor networks, VANETS and V2V and V2I communication, trusted and dependable systems. 

* Algorithms for Real Time Analytics: clustering and classification approaches, stream processing algorithms, real time decision tree generation and update, real time machine learning, statistical approaches. Approaches related to stream correlation and sampling, etc. 

* System software: real-time kernels and OS, middleware support for ORC, QoS management, extensibility, synchronization, resource allocation, scheduling, fault tolerance, security. 

* Applications: Medical devices, intelligent transportation systems, Industrial automation systems, Internet of Things and Smart Grids, Embedded systems (automotive, avionics, consumer electronics, building systems, sensors, etc), multimedia processing, RT Web-based applications.
* System evaluation: performance analysis, monitoring & timing, dependability, end-to-end QoS, overhead, fault detection and recovery time. 
* Cyber-physical and Cyber-social systems (e.g. social media analytics)