IEEE ISORC 2019

22nd IEEE INTERNATIONAL SYMPOSIUM ON REAL-TIME COMPUTING

IEEE ISORC was founded in 1998 (with its first meeting in Kyoto, Japan) to address research into the application of real-time object-oriented distributed technology. Since then, ISORC has continually evolved to meet the latest challenges faced by researchers and practitioners in the real-time domain, with an emphasis on object-, component- and service- oriented systems and solutions.

ISORC is a single-track conference, with a lively community. We have hosted a number of associated workshops, and are proud of our spirit of openness. We seek to encourage diverse views and new approaches to all Real-Time Issues and Challenges for novel applications and systems in RT computing issues.

Accepted papers from ISORC 2019 will be invited for submission to a Special Issue of a Journal that will be advertised in short.

The specific ORC focus areas include, but are not limited to:

• Programming and system engineering: real-time programming challenges, ORC paradigms, object/component models, languages, synchronous languages.
• Embedded distribution middleware, 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.
• System software: real-time kernels and OS, middleware support for ORC, QoS management, extensibility, synchronization, resource allocation, scheduling, fault tolerance, security.
• Real-time algorithms and infrastructure support for decentralized architectures including distributed ledgers with a focus on scalability and resilience.
• Applications: Medical devices, intelligent transportation systems, Industrial automation systems and Industry 4.0, 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).
• Time-sensitive social dispersed computing.